Abstract
This review discusses the evidence for the hypothesis that the development of drug addiction can be understood in terms of interactions between Pavlovian and instrumental learning and memory mechanisms in the brain that underlie the seeking and taking of drugs. It is argued that these behaviours initially are goal-directed, but increasingly become elicited as stimulus–response habits by drug-associated conditioned stimuli that are established by Pavlovian conditioning. It is further argued that compulsive drug use emerges as the result of a loss of prefrontal cortical inhibitory control over drug seeking habits. Data are reviewed that indicate these transitions from use to abuse to addiction depend upon shifts from ventral to dorsal striatal control over behaviour, mediated in part by serial connectivity between the striatum and midbrain dopamine systems. Only some individuals lose control over their drug use, and the importance of behavioural impulsivity as a vulnerability trait predicting stimulant abuse and addiction in animals and humans, together with consideration of an emerging neuroendophenotype for addiction are discussed. Finally, the potential for developing treatments for addiction is considered in light of the neuropsychological advances that are reviewed, including the possibility of targeting drug memory reconsolidation and extinction to reduce Pavlovian influences on drug seeking as a means of promoting abstinence and preventing relapse.
Keywords: cocaine, compulsion, habits, reconsolidation, relapse, striatum
Introduction
Many people take drugs that are addictive and do so for different reasons, in different ways and in different contexts, for example the social drinking of alcohol, which is acceptable in some but not all societies, or the more solitary intravenous use of drugs such as heroin. These drugs are powerfully reinforcing and may cause intense subjective effects that, once experienced, lead to further experimentation and drug taking experiences. While such drug taking may continue on an occasional basis for a long period of time, some individuals lose control over their drug use and are unable to stop. They compulsively seek and take drugs despite the obviously deleterious effects of doing so on their personal and social wellbeing, and often in the face of danger and punishment by the legal system (American Psychiatric Association, 2013). It is therefore important to disentangle the mechanisms that underlie drug use from those whereby vulnerable individuals become addicted. Understanding the neural and psychological basis of the transition from initial drug use to compulsive use when addicted or dependent has been the focus of remarkably successful experimental research in animals and, increasingly, in humans for nearly half a century. Consequently, we now have a wealth of data on the initial molecular actions of addictive drugs, where in discrete brain regions they produce their reinforcing effects and how repeated or chronic drug taking changes the brain, thereby contributing to the emergence of compulsive drug use (Koob & Le Moal, 2005a; Nestler, 2005; Russo et al., 2010; Nestler, 2014). The factors that might predispose individuals to lose control over drug use are being defined both in animals (Dalley et al., 2007; Belin et al., 2008; Dilleen et al., 2012) and, through the study of addicted individuals and their siblings, also in humans, leading to the identification of endophenotypes relevant to drug addiction and related neuropsychiatric disorders (Ersche et al., 2010). Despite this very considerable body of knowledge, there has been disappointingly little progress in bringing novel and effective treatments to the clinic, even though there is a major unmet need and a plethora of viable targets – a situation that it is hoped may change in the near future.
This review is not intended to be exhaustive, but to reflect my FENS-EJN award lecture delivered at the FENS Forum in Barcelona in 2012, which summarized aspects of the theoretical basis and results of some of our research. One of the starting points of this research was that the investigation of the molecular and neurochemical correlates of the reinforcing effects of acute drug self-administration and of chronic drug use will be relevant to understanding addictive behaviour only provided it is embedded in a more integrative approach allowing for their interpretation in behavioural and cognitive terms (Everitt et al., 2001). Thus, while it had long been accepted that drugs have reinforcing effects, generally assumed to depend upon increased dopamine (DA) transmission in the nucleus accumbens (NAcb) and associated ventral striatal areas (Wise, 2008) (although whether this explains all reinforcing effects of all classes of abused drugs remains contentious), it was also clear that responses to drugs can acquire motivational significance by being associated with environmental stimuli through pavlovian conditioning (Gawin & Kleber, 1986; O'Brien et al., 1998). These drug-associated conditioned stimuli (CSs) may then predict drug availability, evoke memories of a drug's effects, or of withdrawal, to result in craving even long into abstinence, and, perhaps most importantly, may elicit and maintain the instrumental behaviours of drug seeking and taking (Wikler, 1965; Grant et al., 1996; Childress et al., 1999; Garavan et al., 2000; Robbins & Everitt, 2002). This led us to suggest that the complex processes underlying addiction can be understood in terms of the operation of the brain's pavlovian and instrumental learning and memory systems, and their subversion by the potent actions of self-administered addictive drugs on dopaminergic transmission within corticostriatal systems that normally mediate learning and memory processes in the context of natural rewards (Robbins & Everitt, 1999; Everitt & Robbins, 2005; Belin et al., 2013).
Our proposition was – indeed is – that drug addiction can be viewed as the endpoint of a series of transitions from initial voluntary, or recreational, drug taking through progressive loss of control over drug use (Robbins & Everitt, 1999; Everitt & Robbins, 2005; Belin et al., 2013). Drug seeking thereby becomes increasingly elicited by and under the control of the drug-associated stimuli established through pavlovian association with early and repeated drug effects, so that it is eventually consolidated as a maladaptive stimulus–response (S-R) habit. Ultimately drug seeking and taking become compulsive in individuals vulnerable to addiction (Fig. 1).
The notion of progression from use to abuse to addiction features in diagnostic, clinical and experimental accounts of addiction (Robinson & Berridge, 1993; O'Brien & McLellan, 1996; Koob & Le Moal, 2001; Everitt & Robbins, 2005; American Psychiatric Association, 2013; Belin et al., 2013). Our experimental approach involved bringing a learning theory analysis of pavlovian and instrumental learning processes, and interactions between them, to the investigation of the neural mechanisms underlying both drug seeking and taking (Everitt et al., 2001). We hypothesized that the transition from voluntary to habitual drug seeking may reflect a devolution in behavioural control from one corticostriatal system to another, more specifically from ventral to dorsal striatal systems, mediated by the recruitment by drugs of the serial interconnectivity of striatal regions with midbrain DA neurons (Fig. 2). This transition may facilitate the emergence of compulsivity, resulting from a progressive decrease in inhibitory control by prefrontal cortical areas over drug seeking habits (Everitt & Robbins, 2005).
Pavlovian mechanisms influencing drug self-administration are a feature of several major theories of addiction, whether based on incentive or opponent processes (Wikler, 1965; Stewart et al., 1984; Robinson & Berridge, 1993; Schulteis et al., 2000; Everitt et al., 2001). However, it seemed both timely and important to focus on the obvious fact that drug seeking and taking are instrumental behaviours and that the general concept of positive reinforcement conflates at least two different processes which have been identified by contemporary analyses of instrumental conditioning with conventional reinforcers (Dickinson, 1985; Dickinson & Balleine, 1994). The first is a declarative associative process based upon knowledge of the relationship between instrumental behaviour, or action (A) and its outcome (O), taking the form of intentional, goal-directed actions. If the outcome is ‘devalued’, goal-directed actions are greatly decreased. The second is an S-R mechanism by which reinforcers strengthen an association between the response and the contextual and discrete stimuli present at the time of reinforcement. Habitual behaviour controlled by this process is elicited automatically by CSs, rather than the representation of the goal, as shown by the fact that if the outcome is devalued, seeking behaviour persists.
In studying these processes in animals self-administering cocaine, heroin and more recently alcohol, we felt it important to distinguish between ‘drug seeking’ and ‘drug taking’ behaviour, not least because it is well established that appetitive behaviour (seeking) is readily dissociated from consummatory behaviour (taking) in studies of ingestive and sexual behaviour (Blackburn et al., 1987, 1989; Cador et al., 1989; Everitt, 1990). Drug taking is most frequently studied and involves the reinforcement of simple lever presses [usually under continuous reinforcement whereby every lever press is followed by an i.v. drug infusion – fixed ratio (FR) 1]. It is this methodology, developed by Weeks (1962), that has been used to define the nucleus accumbens and adjacent ventral striatal structures as a key site for the reinforcing effects of stimulants, opioids and other drugs of abuse (Roberts & Koob, 1982; Wise, 2004; Ikemoto et al., 2005). But there is a much less tight and predictable relationship between response and outcome when individuals seek drugs in more complex, or real world environments, where reinforcement is often delayed and drug seeking must be maintained over long periods of time (Everitt & Robbins, 2005). Drug seeking is also markedly influenced by drug-associated CSs that in humans induce subjective craving states, drug seeking and relapse after abstinence (Grant et al., 1996; Childress et al., 1999; Garavan et al., 2000).
We invested considerable effort in establishing drug seeking under a second-order schedule of reinforcement as it captures delays to reinforcement (15–60 min), critical dependence on the contingent presentation of cocaine-associated CSs acting as conditioned reinforcers, as well, of course, as the delivery of drug (cocaine, heroin and more recently alcohol) (Arroyo et al., 1998; Everitt & Robbins, 2000). It can be studied in acquisition, or after a change in response contingency requirements when under A-O control (Murray et al., 2012a). Drug seeking can also be studied, at the psychological (CS omission) and neurobiological level, when well established or habitual and under S-R control after weeks of training, as well as at time points between these two extremes (Murray et al., 2012a). Using this behavioural approach, we have demonstrated the engagement of different territories of the striatum during the transition from goal-directed to habitual drug seeking. We also developed a second task, described as a seeking–taking chained schedule of drug reinforcement in which seeking responses are distinct and separate from taking (consummatory) responses and can be manipulated independently, thereby allowing the associative structure, A-O or S-R, underlying seeking to be investigated (Olmstead et al., 2000, 2001). This task has also been employed to study drug seeking when it is risky because of the threat or actual occurrence of unpredictable and intermittent punishment, enabling us to model compulsive drug seeking, defined as persisting in the face of adverse consequences (Vanderschuren & Everitt, 2004; Pelloux et al., 2007).
Acquisition and performance of drug seeking – pavlovian and instrumental processes
There is now abundant evidence showing that limbic cortical–ventral striatal circuitry mediates pavlovian influences on appetitive behaviour, including drug seeking (Everitt et al., 1999; Robbins et al., 2008). The basolateral amygdala (BLA) is a major source of afferents to the ventral striatum, especially to the nucleus accumbens core, but also to the shell region (Wright et al., 1996). This system provides the basis for interactions between stimulus–reward associative processing in the amygdala and the primary site mediating the reinforcing effects of addictive drugs, the ventral striatum, thereby underlying both pavlovian and instrumental appetitive behaviours – much as Mogenson et al. (1984) had predicted when describing this system as a ‘limbic-motor interface’ (Fig. 2). Selective BLA lesions or NAcb core lesions markedly impaired the acquisition of cocaine seeking under a second-order schedule (Whitelaw et al., 1996; Ito et al., 2004), as did a neurochemical functional disconnection of this circuitry by combining unilateral manipulations of each structure in opposite hemispheres (Di Ciano & Everitt, 2004). Lesions to the BLA and NAcb core also impaired the acquisition of heroin seeking (Alderson et al., 2001). Note that neither BLA nor NAcb core lesions (nor NAcb shell lesions) impaired cocaine (or heroin) self-administration, i.e. drug taking. Lesion-induced deficits were only seen when seeking depended on the presentation of cocaine-associated conditioned reinforcers and when the drug infusions were delayed. The mechanisms underlying drug taking and drug seeking under the influence of pavlovian drug-associated stimuli are therefore dissociable. Moreover, the neural basis of the A-O learning processes supporting instrumental drug taking and seeking must lie at least in part in other loci (see below).
The effects of lesions of the BLA or NAcb core are consistent with their established, interacting involvement in conditioned reinforcement (Cador et al., 1989; Robbins et al., 1989). The amygdala–NAcb system also mediates pavlovian approach behaviour (Parkinson et al., 1999, 2000; Flagel et al., 2011) and pavlovian-instrumental transfer, or PIT (Hall et al., 2001; Corbit & Balleine, 2005). Perhaps less widely appreciated is the importance of both the BLA and the NAcb core in mediating delays to reinforcement, a process that is markedly facilitated by the presentation of conditioned reinforcers (Cardinal et al., 2004; Winstanley et al., 2004). Both BLA and NAcb core lesions resulted in impulsive behaviour, with animals choosing small, immediate over larger, delayed rewards. The NAcb core is further required for instrumental learning when there is a delay between response and reinforcer (Cardinal & Cheung, 2005), again probably because it mediates CSs presented during the delay acting to reinforce and support instrumental responding that leads ultimately to reward (Cardinal et al., 2002).
Relapse to drug seeking after instrumental extinction, which also depends on drug CSs acting as conditioned reinforcers, as well as the strengthening of the ability of conditioned reinforcing effects of drug-associated CSs during abstinence to precipitate relapse (‘incubation’; Grimm et al., 2001; Lu et al., 2004), are mediated by processing in the amygdala and NAcb and interactions between them, further supporting the importance of this circuitry in drug seeking [reviewed extensively (McFarland & Kalivas, 2001; See et al., 2003; Lu et al., 2005)].
The importance of the ventral striatum, including the NAcb, in mediating drug reinforcement, and of the amygdala–NAcb circuitry in mediating conditioned reinforcement, PIT and pavlovian approach (reviewed by Cardinal et al., 2002; Cardinal & Everitt, 2004) is well established. However, the striatal (and cortical) mechanisms underlying the acquisition of drug seeking when goal-directed and controlled by instrumental A-O processes has only recently been revealed, being informed by the investigation of responding for ingestive reinforcers. Here, the posterior dorsomedial striatum (pDMS) has been shown to be of key importance. Using the procedure of outcome devaluation to probe the A-O vs. S-R control over responding for food, lesions, N-methyl-d-aspartate (NMDA) receptor blockade or disruption of extracellular signal-regulated kinase (ERK) in the pDMS prevented A-O learning during the acquisition of food-reinforced responding (Yin et al., 2005a,b; Shiflett et al., 2010). This does not mean that animals do not respond for food. Instead these manipulations result in a loss of sensitivity to outcome devaluation; the animals still eat and food retains its reinforcing properties (which are correlated with DA release in the NAcb; Blackburn et al., 1986; Bassareo & Di Chiara, 1999).
But the neural parsing of reward or reinforcement, pavlovian influences on instrumental behaviour and A-O instrumental learning itself is difficult, because these processes are closely intertwined. However, we have shown that DA receptor blockade in the pDMS dose-dependently impaired the acquisition of cocaine seeking when animals had to adapt to a change in contingency in responding for both the CS and the cocaine when under A-O control. The same manipulation had no effect after extended, or over-, training, suggesting the neural locus of control over behaviour shifts with experience (Murray et al., 2012a). Nor could the effects of pDMS DA receptor blockade on learning and goal-directed performance be attributed to changes in cocaine reinforcement, as the effects on seeking acquisition were measured before any influence of self-administered cocaine infusion in each seeking test session, and also because pDMS DA receptor blockade had no effect on cocaine taking (i.e. simple self-administration of the drug; Murray et al., 2012a). Interestingly, selective lesions of the orbital prefrontal cortex (OFC) also impaired the acquisition of cocaine seeking (Everitt et al., 2007). The OFC projects richly to the pDMS and interactions between these structures have been implicated in goal-directed instrumental action (Schoenbaum & Roesch, 2005; Ostlund & Balleine, 2007). In addition the OFC projects reciprocally to the BLA and this system plays a role in conditioned reinforcement processes (Parkinson et al., 2001; Burke et al., 2008). Taken together, then, these data argue for the parallel involvement of the BLA, NAcb core, pDMS and OFC in the acquisition and performance of goal-directed cocaine seeking maintained over delays to drug reward and sustained by drug-associated conditioned reinforcement (Fig. 2).
The emergence of drug seeking habits and dorsolateral striatal control
After extended training under a second-order schedule of reinforcement for cocaine, DA receptor blockade in the pDMS or NAcb no longer impaired drug seeking. Instead, the same manipulation in the anterior dosolateral striatum (aDLS) did – yet this had no effect at earlier stages when seeking behaviour was sensitive to pDMS DA receptor blockade (Murray et al., 2012a). This shift to aDLS control (Fig. 2) was predicted by the earlier finding that extracellular DA was increased in the DLS, but not NAcb core or shell, during a 1-h period of cocaine seeking in rats that had been trained extensively over a period of 2 months under the same schedule of reinforcement (Ito et al., 2002). We interpreted these results on the backdrop of an earlier literature on the role of the dorsal striatum in habit learning (Mishkin et al., 1984) and also a rapidly growing body of data on food-reinforced instrumental behaviour, where insensitivity to reinforcer devaluation had revealed that the aDLS is involved specifically in S-R learning and performance (Yin et al., 2004, 2006). An interval-based second-order schedule such as the one adopted in our experiments, where there is a weaker relationship between response and outcome compared with ratio, especially low ratio, reinforcement schedules, is much more likely to result in S-R, or habit-based, responding (Dickinson et al., 1995). But devaluing cocaine by specific satiety, lithium chloride (LiCl)-induced malaise, or even contingency degradation has proven to be extremely difficult and not very effective when an intravenously self-administered drug like cocaine is the reinforcer. The reasons are, respectively: (i) that the stimulant effects of pre-loading with cocaine make persistent responding subsequently impossible to interpret, (ii) that LiCl does not readily devalue (through illness) a non-ingested reinforcer and (iii) that contingency degradation (delivering ‘free’ reinforcers when an animal is otherwise responding for drug) is very difficult in the context of the several minutes of duration of the effect of a self-administered cocaine reinforcer (Everitt & Robbins, 2013).
However, rats responding for oral cocaine or alcohol more rapidly become resistant to devaluation by LiCl-induced malaise, i.e. habitual drug seeking behaviour is instantiated more readily than habitual responding for a food reinforcer (Dickinson et al., 2002; Miles et al., 2003). Moreover, in rats responding for alcohol, it was not only confirmed that development of resistance to reinforcer devaluation induced by specific satiety (free access to alcohol before the instrumental seeking test) occurred more rapidly than was the case for a food reward, but that this was accompanied by a shift from control by the DMS to the DLS; thus, DMS inactivation prevented the effect of reinforcer devaluation early in training, thereby revealing its control by an A-O process, but inactivation of the DLS after 8 weeks of training resulted in restored sensitivity to reinforcer devaluation, thereby demonstrating devolved control over habitual alcohol seeking behaviour to the DLS (Corbit et al., 2012).
In rats seeking cocaine, additional evidence supports the hypothesis that seeking behaviour is initially goal-directed, but after extended training becomes habitual and under the control of the aDLS. Having developed a cocaine seeking–taking chained schedule, we initially showed that after limited training, seeking behaviour was sensitive to reinforcer devaluation (extinguishing the taking link of the chain) and therefore goal-directed (under A-O control) (Olmstead et al., 2001). Adopting the same methodology, it was shown subsequently both that cocaine seeking behaviour was insensitive to devaluation after extended training and that it depended on the aDLS, as inactivation of the DLS at this time reinstated sensitivity to devaluation (Zapata et al., 2010).
This now substantial literature has revealed much about the neural and psychological basis of the seeking of addictive drugs over time and the influence of pavlovian drug-associated CSs. The data are readily aligned with a fundamental understanding of goal-directed and habitual instrumental behaviour and the shifts in the relative dominance of one or other parallel learning process between early and late performance, an understanding that is complemented by other experimental and clinical data. Thus, prolonged but not brief stimulant self-administration alters markers of cellular plasticity in dorsal striatal neurons (Jedynak et al., 2007), as well as adaptations in striatal D2 DA receptors and metabolic markers that are perhaps the clearest demonstration of the way in which cocaine's effects spread from ventral to dorsal striatum the longer the drug is self-administered (Letchworth et al., 1997, 2001; Porrino et al., 2004). The escalation of drug intake in rats with extended cocaine access has further been shown to be under the control of micro-RNAs in the dorsal striatum (Im et al., 2010; Jonkman & Kenny, 2013). Cocaine administration accelerates the emergence of habitual responding for food (Nelson & Killcross, 2006) and also the shift from ventral to dorsal striatum of neuronal firing evoked by presentation of a pavlovian CS (Takahashi et al., 2007). In a T-maze, food-reinforced task, a transition was demonstrated in electrophysiological activity from the DMS, which was present during acquisition and early performance, but decreased with over-training to be dominated by DLS activity mediating habitual performance (Thorn et al., 2010). In mice, chronic intermittent alcohol vapour exposure resulted in impaired pavlovian influences on instrumental behaviour, a loss of CB1-receptor-mediated long-term depression in the DLS and the facilitation of DLS-dependent learning that indicated an increased propensity for the greater control over behaviour by the DLS in the progression to alcoholism (DePoy et al., 2013).
In imaging studies, cue-induced craving in humans addicted to cocaine has been shown to be associated with increased DA release and metabolic activity in the dorsal striatum (Garavan et al., 2000; Volkow et al., 2006). In alcohol-dependent, as compared with recreational alcohol drinkers, presented with alcohol-related CSs a shift in activation from the ventral to the dorsal striatum has also been demonstrated (Vollstaedt-Klein et al., 2010). Perhaps most intriguing is the finding that the left putamen was siginificantly enlarged both in cocaine-dependent individuals and in their siblings, who were not abusing cocaine (Ersche et al., 2013a,b). In a related study (Bohbot et al., 2013) human subjects learned a virtual maze task that can dissociate spatial and S-R response navigational strategies; response learners had increased dorsal striatal grey matter volume and activity measured using functional magnetic resonance imaging, while spatial learners had increased hippocampal grey matter and activity. It was further shown that the response learners had greater use of abused substances than spatial learners, including double the lifetime alcohol consumption, a greater number of cigarettes smoked and a greater lifetime use of cannabis. These data, especially the sibling study of Ersche et al. (2012a,b), indicate that greater dorsal striatal (caudate or putamen) volume is associated with a predisposition for drug use and part of an endophenotype that may predict a greater propensity to acquire drug seeking habits.
The notion of the parallel and serial operation of corticostriatal loops in motivational, pavlovian and instrumental processing raises the issue of how, mechanistically, the loops interact. The reinforcing effects of many abused drugs, but especially stimulants, depend upon dopaminergic transmission in the NAcb shell and closely related ventral striatal areas such as the olfactory tubercle (Di Chiara & Imperato, 1988; Ikemoto & Wise, 2004). Pavlovian influences on instrumental behaviour depend upon the NAcb core and its afferents from the amygdala (Hall et al., 2001; Cardinal et al., 2002; Corbit & Balleine, 2005). Instrumental A-O behaviour depends upon the pDMS and its connections with the OFC, as well as on the prelimbic prefrontal cortex (PFC) (Killcross & Coutureau, 2003; Ostlund & Balleine, 2005; Yin et al., 2005b; Corbit et al., 2012; Murray et al., 2012a), while S-R habits depend upon the aDLS and its connections, presumably, with the sensorimotor and motor cortex, as well as on the infralimbic PFC (Killcross & Coutureau, 2003; Yin et al., 2004; Corbit et al., 2012; Murray et al., 2012a). The complex product of these interactions underlies the learning and performance of goal-directed drug seeking and its eventual subordination by automatic S-R processes, as well as the impact on both of drug-associated CSs. We have recently presented data and reviewed the evidence (Belin et al., 2013; Everitt & Robbins, 2013) suggesting that these interactions and transitions between ventral and dorsal striatal domains depend in a significant way upon the recurrent circuitry that, via projections to midbrain DA neurons, allows ventral striatal processing to influence DA-dependent processing in the dorsal striatum (Haber et al., 2000) – indeed, links the NAcb shell to the core, to the DMS and ultimately the DLS (putamen in primate brains) via connections with progressively more lateral midbrain DA neurons – from medial ventral tegmental area to lateral substantia nigra (Fig. 2). Disconnecting the NAcb core from DA transmission in the DLS (by making a unilateral, cell body-specific lesion of the core and infusing the DA receptor antagonist flupenthixol into the contralateral DLS, thereby disabling this system bilaterally) significantly reduced well-established, or habitual cocaine seeking at a time point when seeking dependent on the DLS, yet this procedure had no effect on a newly acquired (goal-directed) instrumental food seeking response (Belin & Everitt, 2008). In a closely related in vivo neurochemical study, it was further shown in rats self-administering cocaine that late-developing drug CS-evoked DA transients in the aDLS were completely prevented by an NAcb core lesion, providing direct evidence in a behavioural setting that DA release in the aDLS depended on antecedent processing in the NAcb core (Willuhn et al., 2012).
Together these data are consistent with drug-induced alteration of the striatal mechanisms predicted by the reinforcement learning model that assigns the role of ‘critic’ to the NAcb through outcome value learning for the purpose of prediction, which drives the ‘actor’, a role assigned to the DLS that mediates action selection (O'Doherty et al., 2004). According to this computational view, increased functional coupling of the NAcb and the aDLS, such as we have suggested may occur as the result of repeated drug taking, may reflect a failure in the critic properly to direct action selection in the actor, so rendering choices and actions rigid and independent of the value of outcomes (Dezfouli et al., 2009; Piray et al., 2010; Belin et al., 2013). Such increased functional coupling between the ventral and the dorsal striatum has recently been shown in former heroin addicts alongside a decrease in functional coupling between the striatum and the PFC (Xie et al., 2014).
There is a seeming paradox to be resolved in linking conditioned reinforcement, and indeed other pavlovian processes that depend critically on the amygdala, with the habit system represented by DLS circuitry, as the amygdala does not project directly to the DLS. How then do drug-associated CSs engage and support aDLS-dependent drug seeking habits? There are two main routes by which such interactions could be mediated: (i) BLA glutamatergic projections to the NAcb core (Wright et al., 1996) can engage the spiralling dopaminergic circuitry linking the core with the DLS (Fig. 2); (ii) the central amygdala (CeN) receives a major projection from the BLA and in turn projects directly to substantia nigra DA neurons that innervate the DLS (a system demonstrated to mediate pavlovian conditioned orienting; Han et al., 1997; Fig. 2). Using another variant of the disconnection approach, we have shown that disconnecting either the BLA or the CeN from DLS DA transmission (by making a unilateral lesion of either CeN or BLA in combination with either a contralateral infusion of flupenthixol into the aDLS) greatly decreased cue-controlled cocaine seeking habits (Murray et al., 2013b).
Thus, two converging systems may underlie the development and maintenance of DLS DA-dependent cocaine seeking habits, the first linking the BLA to the DLS via the NAcb core and spiralling loop circuitry, the second linking the CeN to the DLS via direct projections to nigral DA neurons. These circuitries may thereby enable the associative, motivational and general arousal properties of drug CSs to control habitual responding for cocaine. This dual control system has been further shown by our recent electrophysiological investigations that have demonstrated that while BLA neurons cannot directly drive the activity of DLS medium spiny neurons, they can incrementally and decrementally modulate the firing of medium spiny neurons driven by activation of their afferents from the motor cortex. Blockade of glutamate receptors in the NAcb core prevented the BLA gating of motor cortex-evoked DLS medium spiny neuron firing, providing direct evidence of the ability of BLA processing to influence activity of the DLS habit system through its glutamatergic interactions with the NAcb (Belin-Rauscent et al., 2013).
The transition from drug seeking actions to habits – summary
There is no doubt that drugs are initially taken, then repeatedly taken, because of their reinforcing or rewarding, including subjective, effects. People want these drugs and will strive to attain them; rats and monkeys do the same. These drug seeking and taking actions depend upon the value of the drug and depend upon the pDMS system; they are also influenced by pavlovian drug-associated CSs mediated by the interacting amygdala–NAcb core system. With repetition and under real world conditions in which seeking behaviour is not always or reliably followed by the opportunity to take the drug, seeking habits are consolidated. Drug seeking habits are divorced from the value of the goal. They are elicited by drug CSs automatically, or implicitly, and do not depend on conscious awareness; they may often be performed in the face of higher cognitive processes, including the intention or decision not to take drugs. Habits are remarkably difficult to inhibit in the presence of the eliciting CSs. But it is also clear that drug CSs can induce subjective states of craving which are readily thought of as motivational states that can elicit drug seeking and taking as goal-directed responses. However, craving often correlates poorly with subsequent drug use (Ehrman et al., 1998; Tiffany, 2000) and can instead be understood as a post-hoc explicit rationalization of a mismatch between automatic cognitive schemata-induced drug seeking behaviour elicited by drug CSs in the absence of immediately available drug (Tiffany, 1990), as may be the case in some laboratory settings, including imaging studies.
We have suggested previously that drug seeking ‘incentive’ habits may explain apparent insight deficits associated with addiction, as they rely on the recruitment of a corticostriatal circuitry that aberrantly engages implicit rigid, or automatic, behavior by amygdala-dependent associative processes (Belin et al., 2013). However, the establishment of seeking and taking habits is not a sufficient explanation for the compulsive use of drugs that characterizes addiction; they more mark the beginnings of the loss of control over drug use as strongly conditioned drug-associated CSs occasion drug taking, as is seen with smoking after a meal, or in (more often outside, since smoking bans) a bar, or drinking after work with friends, often excessively, when the intention was not to do so. The devolution of control to a dorsal striatal habit system is a normal consequence of the frequent repetition of seeking and taking behaviour and is seen – indeed was first demonstrated – in animals responding for food reward (Adams & Dickinson, 1981). The development of habitual behaviour should not, then, itself be seen as aberrant, even though it seems to develop more rapidly for addictive drugs (alcohol and cocaine) than ingestive rewards. Automatizing behaviour is adaptive as it enables cognitive processes to facilitate rapid responses to altered contingencies in the environment, provided that in the face of those changing contingencies an individual can regain control over habitual behaviour. Thus, drug seeking habits and the underlying intrastriatal shifts in the control over behaviour alone should not be equated with addiction.
It is instead the loss of control over habitual drug seeking that may be the important event that leads to compulsive drug use, rather than the perhaps more widely held view of pathologically increased motivation for drugs, which remains rather difficult to reconcile with reductions in drug value through tolerance. Moreover, habit learning is potently influenced by stress (Dias-Ferreira et al., 2009), perhaps indicating that the stress associated with withdrawal may facilitate the establishment of drug seeking habits and that negative reinforcement, including negative conditioned reinforcement, may promote the ventral to dorsal shift in the striatal control over drug seeking. Understanding the associative structure underlying drug seeking and taking is not only of academic interest, but has therapeutic implications. For example, drug devaluation techniques may not be successful if drug seeking is habitual, as habits resist reinforcer devaluation. On the other hand, restoring reinforcer value may result in treatments such as cognitive behaviour therapy becoming more effective, as drug seeking and taking when goal-directed may then be more susceptible to motivational manipulations and the promotion of choice. It is therefore important to understand the basis of the loss of control over drug seeking habits and why it is that only some individuals lose this control whereas the majority do not.
We have suggested (Murray et al., 2013a) that a key aspect of this individual vulnerability results not from the effect of chronic exposure to drugs to facilitate intrastriatal shifts and the establishment of drug seeking habits, but in the nature of the habits themselves. Thus some vulnerable individuals may be characterized by more rigid corticostriatal circuitry such that once the control over drug seeking has devolved to the DLS, the now maladaptive drug seeking habit cannot be brought back under executive control, resulting in compulsive drug seeking.
Compulsive drug seeking
However phrased, it is indeed compulsive drug use that is widely seen as a core aspect of addiction, and by that is meant repeated, persistent use, despite placing an individual in danger, compromising their health, family and social lives. The new iteration of the Diagnostic and Statistical Manual (DSM V; American Psychiatric Association, 2013) also recognizes that not everyone is vulnerable to developing substance-related disorders, and that it is low levels of self-control that may cause persistent use. Suboptimal self-control may be a predisposing factor for, or be the result of, excessive drug intake (Jentsch & Taylor, 1999) – the latter perhaps interacting with spontaneously occurring vulnerability traits (Belin et al., 2008).
There have long been drug-based explanations of compulsion. First and foremost is the view that drugs are repeatedly taken to avoid or postpone the aversive consequences of withdrawal through negative reinforcement (Wikler, 1973; Koob & Le Moal, 2001). Koob et al. (2004) have amassed a large body of data showing the importance of this mechanism in the escalation of drug intake in animals either given long access to cocaine or heroin, or made dependent on alcohol in vapour chambers (Ahmed et al., 2002; Koob et al., 2004; Gilpin & Koob, 2008). The withdrawal state is associated with raised reward thresholds, activation of stress systems in the amygdala and the development of hedonic allostasis – a pathological alteration in the set point of a hedonically positive, or at best neutral, state that an individual dependent on drugs persistently seeks but fails to achieve through repeated drug taking (Koob, 1996, 2008). As discussed above, while this view appeals to a negative affective state and aversive motivational processes, these may also profoundly influence the development of S-R drug seeking habits, although this has never been studied in an addictive drug context.
Koob & Le Moal (2005b) refer to this to this as the ‘dark side’ of addiction, but its light side counterpart involves the incremental responses to addictive drugs and drug-associated stimuli (sensitization; Robinson & Berridge, 1993) that result from intermittent, early drug exposure (and, in the majority of experimental studies, this exposure is non-contingent and administered by an experimenter, rather than being self-administered). It is best demonstrated for stimulants such as cocaine and amphetamine, but has also been shown with most addictive drugs and to be mediated by an upregulation of DA transmission in the NAcb (Robinson et al., 1988). The most common interpretation of the consequence of a sensitized DA system is a pathologically elevated, positive motivational state in which drugs are excessively wanted, excessively sought and repeatedly taken (Robinson & Berridge, 1993). These are subjective states that are indeed reported by humans who abuse or are addicted to drugs, but again they do not preclude the enhancement of implicit processes and the aberrant engagement of S-R habit learning. This has clearly been demonstrated in animals responding for food, in which even brief stimulant drug pre-exposure enhances dorsal striatal DA transmission and renders instrumental behaviour rapidly resistant to reinforcer devaluation (i.e. habitual) (Nelson & Killcross, 2006). Escalated cocaine intake also enhances the propensity of rats to display stereotypies that depend on dorsal striatal DA, and to show changes in dendritic spines, a marker of plasticity, in the dorsal striatum (Ferrario et al., 2005). Thus, the consequences of stimulant exposure are not confined to a NAcb-based incentive system, but instead progressively spread to the more dorsal and cognitive territories of the striatum.
There are influential and informative reviews of allostatic and sensitization theories and these will not be discussed further here (Robinson & Berridge, 2008; Koob & Volkow, 2010) (and see above). Instead, focus will be placed on the evidence suggesting that it is another, major consequence of addictive drug exposure that is causal in the development of compulsive drug use, namely prefrontal cortical dysfunction and the consequential loss or diminution of executive, or inhibitory, control over drug use (Jentsch & Taylor, 1999; Everitt & Robbins, 2005; Kalivas & Volkow, 2005; Volkow & Li, 2005; Baler & Volkow, 2006; Schoenbaum & Shaham, 2008; Torregrossa et al., 2008; Ersche et al., 2013a). Experimentally, even relatively brief exposure to stimulants, including their self-administration, can result in impairments in tasks that depend on the OFC, for example perseverative deficits in reversal learning (Calu et al., 2007) that were correlated with altered responses of OFC neurons to cues predicting outcomes (Takahashi et al., 2007). Perseveration in reversal learning is a form of compulsive behaviour that has also been seen in chronic stimulant abusers and shown to correlate with reduced activity in the anterior caudate nucleus (Ersche et al., 2008, 2012a). The impairment was ameliorated by treatment with a D2 DA receptor agonist (Ersche et al., 2011b), a finding of particular importance since cocaine (as well as alcohol, methamphetamine and heroin) abusers have reduced levels of D2 DA receptors in the striatum, which are correlated with OFC functional hypoactivity (Volkow et al., 1993, 2001), indicating that the enhancement of D2 DA signalling may have restored function in the OFC–caudate system. In addition to probabilistic reversal learning deficits, cocaine abusers have been reported to show impairments in a variety of behavioural and cognitive functions, including poor behavioural adjustment to environmental contingencies (Bechara, 2005) and decision-making deficits in a gambling task (Rogers et al., 1999; Ersche et al., 2005) that are indicative of OFC dysfunction, as they are also seen following OFC damage (Rogers et al., 1999).
Chronic drug abuse may therefore be causal in inducing suboptimal prefrontal cortical, including OFC and anterior cingulate cortex, function (Volkow & Fowler, 2000; Kaufman et al., 2003; Hester & Garavan, 2004) that is reflected in reduced inhibitory control and deficits in decision-making. That PFC dysfunction is more a consequence of chronic drug use than a vulnerability trait leading to drug abuse through making poor decisions, or a lack of sensitivity to the consequences of decisions to engage in drug taking (Ersche et al., 2012a,b) is strongly indicated by an endophenotype study of non-drug-abusing stimulant abusers (Ersche et al., 2013a). Changes in OFC and anterior cingulate cortex grey matter seen in stimulant abusers were not observed in the siblings, where instead there were increases in the medial temporal lobe grey matter and putamen (as discussed above) and reductions in the superior temporal gyrus, post-central gyrus and insula. Moreover, a group of recreational drug users in the same study showed increased OFC grey matter volumes, which may therefore be related to an enhanced ability to maintain control over infrequent drug use (Ersche et al., 2013a). These data strongly indicate that prefrontal cortical grey matter changes reflect, rather than pre-date, drug abuse and support the hypothesis that compulsive drug use is at least in part caused by chronic drug effects leading to impaired top-down control by prefrontal cortical processes (Jentsch & Taylor, 1999; Goldstein et al., 2004; Everitt & Robbins, 2005).
Further supportive data include the observation that stimulant-dependent subjects had elevated scores on the OCDUS (Obsessive Compulsive Drug Use Scale) scale, which both measures compulsive drug use and captures behavioural predispositions in drug taking, rather than reflecting subjective motivational responses based on ‘liking’ or ‘wanting’ (Ersche et al., 2010, 2011a,b). Furthermore, stimulant abusers and their siblings tend to show obsessive-compulsive-like or ritualistic behaviours which Ersche et al. (2012b) have suggested may indicate an overlap between obsessive-compulsive disorder (OCD) and compulsive drug use in addiction, reflecting some commonality in underlying prefrontal cortical–striatal mechanisms (Meunier et al., 2012; Robbins et al., 2012).
Experimental animal models of addiction have always faced a major challenge when trying to capture compulsive drug use as they require chronic, not acute, drug self-administration (and therefore, in the case of cocaine or heroin, long-term maintenance of i.v. catheters) and also should reveal individual differences in the propensity to lose control over drug seeking and taking. Not every individual who takes drugs loses that control and compulsively uses drugs despite the adverse or aversive consequences of doing so – a proportion that across drugs and studies has been estimated to be around 20–30% (Anthony et al., 1994). However, behavioural paradigms have been established, especially in animals self-administering cocaine, that do measure compulsive drug seeking and taking. Initially, we showed using a seeking–taking chained schedule that a chronic, but not a brief, history of cocaine self-administration resulted in the greatly reduced ability of a fear-conditioned CS (established by Pavlovian fear conditioning) to suppress cocaine seeking (Vanderschuren & Everitt, 2004). This loss of fear-conditioned suppression of cocaine seeking was not associated with any change in fear behaviour or conditioning and so indicated that after chronic drug use, rats were prepared to risk seeking cocaine in the presence of a CS that signalled an aversive outcome. However, all rats having chronically self-administered cocaine showed this change, just as all rats exposed relatively briefly to stimulant showed impaired reversal learning and an increased tendency to acquire S-R habits. Thus, while this experiment demonstrated an effect of chronic cocaine on later sensitivity to danger signals – albeit specifically in a cocaine seeking context and not generally – it did not reveal individual propensities to show this effect in a vulnerable sub-population.
Two procedures have, however, captured the vulnerability to develop compulsive drug use, defined as seeking cocaine in the face of aversive or negative outcomes. In the three addiction-like criteria model (Deroche-Gamonet et al., 2004; Belin et al., 2008), 20% of rats having self-administered cocaine for 100 days (but not 40 days) continued to respond for cocaine even though receiving punishment (mild footshock) for doing so; they also persisted in responding when an environmental stimulus signalled that cocaine was not available and an increased motivation for cocaine (assessed under a progressive ratio schedule). This procedure therefore captured the notion of vulnerability to develop compulsive cocaine taking behaviour. In our approach (Pelloux et al., 2007, 2012; Jonkman et al., 2012a), the seeking–taking chained schedule described above was adapted so that on 50% of trials the outcome of seeking responses was the opportunity to take (i.e. self-administer) cocaine, but unpredictably on 50% of trials in a session, the outcome of seeking was mild footshock punishment and not access to the taking lever. Therefore, rats had to run the risk of punishment when seeking the opportunity to take cocaine. After a brief cocaine history, all rats ceased seeking cocaine when the punishment contingency was introduced and could therefore be considered as voluntarily abstaining from drug seeking. However, after a long history of cocaine self-administration, whether or not they escalated their cocaine intake, around 20% of rats continued to seek cocaine, while 80% abstained (Fig. 3). This compulsive cocaine seeking was seen in rats regardless of any increased motivation for the drug, suggesting that some forms of compulsion, as operationalized in preclinical models, may develop without coincident increases in motivation. The extent of exposure to cocaine, rather than the degree of conditioning through pavlovian pairings of CS and drug, was further shown to be a critical factor in determining the development of cocaine seeking under punishment (Jonkman et al., 2012b). Moreover, the propensity to show compulsive cocaine seeking in a therefore vulnerable sub-population has now been demonstrated in different strains of rats and in different laboratories (Deroche-Gamonet et al., 2004; Pelloux et al., 2007; Belin et al., 2008; Cannella et al., 2013; Chen et al., 2013) (but see Waters et al., 2014) using either the three-criteria or seeking–taking chained schedule procedures. These behavioural approaches to studying addiction in animals have enabled investigation of the neural basis of compulsive drug seeking and also the identification of individuals who are vulnerable to compulsivity when having self-administered cocaine over long periods. It is further becoming clear that these behavioural approaches can be adapted to study the compulsive seeking of heroin, alcohol and high incentive food.
In having hypothesized that there is a shift in the balance of control over drug seeking from PFC to striatum as drug seeking becomes compulsive – conceptualized as the ‘must do’ (must seek and take drugs) of a compulsive habit, rather than the ‘must have’ of an increased goal-directed motivational state (Everitt & Robbins, 2005) – recent data have shown the involvement of a discrete aDLS domain and altered PFC function in compulsive cocaine seeking in rats. Inactivation of the aDLS zone selectively disrupted punished, but did not affect unpunished, drug seeking even after extended training, whereas inactivation of an adjacent mid-lateral striatal area disrupted drug seeking regardless of the stage of training, whether punished or not. Since the effect of inactivating the aDLS under punishment conditions was present before delivery of the first punishment in a session, we argued that taking the aDLS offline enhanced the influence of recalled negative consequences of cocaine seeking (Jonkman et al., 2012a). These results indicated that the aDLS selectively mediates the rigidity of responding after over-training and under the threat of punishment, while the midlateral striatum with its motor cortical connectivity is instead necessary for instrumental responding per se, whether punished or not.
Pelloux et al. (2012) showed that the sub-population of rats that continued to seek cocaine despite punishment had markedly reduced levels of 5-HT utilization across prefrontal cortical areas (as well as decreased DA utilization in the dorsal striatum), whereas the 80% of rats that became abstinent after the introduction of the intermittent shock contingency did not. Since both groups had very similar total levels of cocaine exposure, this result revealed an interaction between some individual characteristic(s) of the 20% vulnerable rats and a long-term cocaine taking history (Pelloux et al., 2012). That the low levels of 5-HT utilization were causal in compulsive cocaine seeking was demonstrated by showing that forebrain 5-HT depletion, or systemic treatment with a 5-HT2C receptor antagonist, after a short cocaine history, when none of the rats was compulsive, resulted in increased levels of seeking under punishment. Moreover, treatment with a serotonin-selective 5-HT reuptake inhibitor (SSRI), citalopram, dose-dependently reduced compulsive seeking in rats that had developed this behaviour after a long drug taking history (Pelloux et al., 2012). The latter finding indicates the potential use of a relatively high dose of an SSRI to reduce compulsive cocaine seeking in patient groups that are characterized by the compulsive nature of their cocaine use (Ersche et al., 2011a).
In a recent noteworthy study that adopted our cocaine seeking–taking task with intermittent punishment, our earlier demonstration of a compulsive cocaine seeking sub-population after long access was replicated (Chen et al., 2013). In addition, in vivo optogenetic stimulation of the prelimbic cortex in compulsive animals resulted in decreased compulsive cocaine seeking and increased latencies to seek. By contrast, the 80% sub-population of rats that had suppressed their cocaine seeking during punishment subsequently increased their cocaine seeking under punishment, i.e. became compulsive, after optogenetic inhibition of the prelimbic cortex (Chen et al., 2013). In the context of the demonstration that pre-training, pre-cocaine experience, lesions of the same prelimbic cortical area did not result in compulsive cocaine seeking in rats after a limited cocaine history (Pelloux et al., 2013), these data further suggest that impaired prefrontal (prelimbic in this case) cortical function is not a vulnerability characteristic leading to compulsive cocaine use, but an emergent characteristic that is a consequence of long-term cocaine use. It will be of great interest in the future to link these prefrontal cortical, dorsal striatal and neurochemical mechanisms that have been demonstrated individually to be causally related to compulsive drug seeking in rats after a protracted cocaine taking history.
Impulsivity and the vulnerability compulsively to seek cocaine
Impulsivity has long been recognized as a characteristic of individuals addicted to drugs, along with sensation seeking and poor decision-making (Koob & Le Moal, 2005a; Kreek et al., 2005; Dom et al., 2006; Verdejo-Garcia et al., 2006; Zilberman et al., 2007; Ersche et al., 2010). It has now been established that impulsivity may be causally linked to the loss of control over drug use, most especially stimulant use, rather than being a consequence of taking drugs such as cocaine and amphetamine (Dalley et al., 2007; Belin et al., 2008; Ersche et al., 2011a). Rats that were impulsive on a five-choice serial reaction-time task (5CSRTT), which measures a form of motor or ‘waiting impulsivity’ (HI rats), escalated their cocaine intake in long access sessions to a degree that was much greater than low impulsive (LI) rats or the general population of rats, although they did not acquire cocaine self-administration more readily (Dalley et al., 2007). This is one of several important points of contrast to so-called ‘high responder’ (HR) rats (i.e. rats that show a greater locomotor response to a novel inescapable environment, which is not the same as sensation seeking) that acquire cocaine or amphetamine self-administration at very low doses of drug which are not self-administered by LR rats, or the general population of rats (Piazza et al., 1989; Dalley et al., 2007). Moreover, HR rats, showing an increased propensity to acquire cocaine self-administration are greatly disrupted in this behaviour by a concurrently available ingestive reinforcer (N. Vanhille and D. Belin, unpublished data), perhaps indicating a model of the propensity to use drugs recreationally. The HI rats that lose control over cocaine intake constitute 8–14% of the Lister-hooded rat population used in our laboratory. When given an extended period of access to cocaine, HI but not HR rats developed compulsive cocaine seeking that persisted despite punishment (Belin et al., 2008) and showed a greater propensity to relapse after abstinence (Economidou et al., 2009). The latter finding is of particular interest as it had earlier been shown that the self-administration of cocaine reduced impulsivity in HI rats, but that HI re-emerged at some point during 3 weeks of withdrawal (Dalley et al., 2007), thereby suggesting that the effective treatment of impulsivity in individuals trying to maintain abstinence after cocaine use might enhance their chances of success in doing so (de Wit & Richards, 2004).
The link between pre-existing impulsivity and the subsequent loss of control over drug intake and compulsivity that develops in rats given access to cocaine is not seen in rats given access to heroin (McNamara et al., 2010), or in alcohol-preferring P rats (Y. Pena-Oliver, C. Giuliano, J.D. Dalley and B.J. Everitt, unpublished data), but there is a predictive relationship between impulsivity and the escalation of nicotine self-administration (Diergaarde et al., 2008), the tendency to over-eat palatable food (Diergaarde et al., 2009; Velázquez-Sánchez et al., 2014) and to develop another form of compulsivity, schedule-induced polydipsia, or SIP (Ansquer et al., 2013). Thus, impulsivity may be a causal trait that predisposes individuals to develop compulsive behaviours, including the compulsive use of stimulants and also high-incentive foods. Evidence for this hypothesis in humans comes from endophenotype studies (Ersche et al., 2010, 2013a) showing that impulsivity was significantly increased in a stimulant abusing group and also, although to a lesser extent, in their siblings compared with controls. Sensation seeking was not significantly greater in the siblings, but was increased in the stimulant abusing group (Ersche et al., 2013a). These data indicate that impulsivity in substance abusers may therefore reflect a combination of pre-existing and drug-induced influences whereas sensation-seeking, but not novelty seeking [see Arnett factorial analysis of SS scale (Arnett, 1994; Belin et al., 2011)] may be more related to drug-induced rather than genetic effects. The accumulated data are of major importance with regards to the notion of vulnerability to addiction because they highlight the dissociable factors that contribute to the motivation underlying initiation of drug use from those related to the transition to compulsive drug use. While both are present in those who become addicted to drugs, it is the latter that should be the increasing focus in studies trying to understand the mechanisms of addiction.
The neural mechanisms underlying impulsivity are increasingly understood (reviewed by Dalley et al., 2011), and so will not be considered in detail here. In summary, a growing body of data has implicated the NAcb in impulsivity in the 5CSRTT, especially its DA afferents from the ventral tegmental area and glutamatergic afferents from the medial PFC and BLA. The NAcb is also implicated in impulsivity measured in delay discounting tasks and rats that are impulsive in the 5CSRTT show an increased preference for small immediate over larger delayed rewards. HI rats have significantly reduced availability of DA D2/3 receptors in the ventral striatum, including the NAcb, but not in the dorsal striatum that correlated with their level of impulsivity (Dalley et al., 2007). HI rats have further been shown to have reduced grey matter density and reduced glutamic acid decarboxylase in the left NAcb core, which together with evidence of reduced dendritic spine and microtubule markers, suggests an interplay between DA transmission and dendritic spines on medium spiny NAcb neurons in the expression of the motor impulsivity (Caprioli et al., 2014b) that is associated with escalation of cocaine intake and compulsive cocaine seeking.
We have recently investigated the relationship between high impulsivity and the establishment of habitual cocaine seeking as indexed by the transition to control over behaviour by DA in the aDLS, investigating whether HI predisposed rats to escalate cocaine intake and to develop compulsive cocaine seeking by facilitating S-R habit learning, or whether the emergence of S-R habits and compulsion are independent and co-occurring processes. This question is timely, especially in the context of misunderstandings about the psychological constructs of S-R habits and compulsion and the relationships between them. For example, although escalation of drug self-administration under low FR schedules – i.e. simple drug taking – is an index of the loss of control over drug intake, there are to date no data to suggest that this is associated with the establishment of a drug seeking habit. Yet this interpretation has been placed on the loss of phasic DA signaling in the ventral, but not dorsal striatum associated with the escalation of cocaine intake following long access (Caprioli et al., 2014a; Willuhn et al., 2014). In fact, a long history of drug taking under FR1 did not result in a shift to control over responding by the aDLS, yet the same degree of total cocaine exposure over the same time period did result in the shift when animals were seeking cocaine under a second-order schedule (Murray et al., 2012a). Thus, it is the interaction of drug seeking under the control of drug-associated CSs mediating delays and cocaine reinforcement that results in the establishment of drug seeking habits. Moreover, escalation of cocaine intake during extended access sessions has not systematically been shown to facilitate the emergence of compulsive cocaine seeking (Ahmed et al., 2003; Deroche-Gamonet et al., 2004; Pelloux et al., 2007; E. Ducret, M. Puaud, J. Lacoste, E. Dugast, A. Belin-Rauscent, J. Murray, B.J. Everitt, J.-L. Houeto and D. Belin, unpublished observations).
The results of our recent study showed that high impulsivity predicting both the escalation of cocaine SA and compulsive cocaine intake, was in fact associated with a delay, not a facilitation in the progressive shift in the control over cocaine seeking by aDLS DA-dependent processes (Murray et al., 2013). The delayed recruitment of the aDLS may be related to the reduced availability of DA D2/3 receptors in the NAcb of HI rats through an influence on cocaine-induced adaptations (Moore et al., 1998; Nader et al., 2002; Besson et al., 2013) shown to progress from ventral to dorsal striatum over extended periods of cocaine self-administration. Furthermore, the progressive decrease in DA D2 receptors and messenger mRNA levels seen in primates (Nader et al., 2002) and rats (Moore et al., 1998; Besson et al., 2013) following extended cocaine self-administration was also delayed in HI compared with LI rats (Besson et al., 2013), despite lower baseline levels of DA D2 mRNA in the NAcb of HI rats (Dalley et al., 2007; Besson et al., 2013). The delayed recruitment of the aDLS to control habitual cocaine seeking in HI rats may therefore be attributed to the remediation of low DA D2 receptors in the NAcb by self-administered cocaine that has the additional effect of decreasing impulsivity (Dalley et al., 2007; Caprioli et al., 2013).
In psychological terms, the low availability of DA D2 receptors in the NAcb of vulnerable HI rats may result in prolonged dominance of control over cocaine self-administration by ventral striatal circuitry, leading to the escalation of cocaine intake. Hence the contributions of impulsivity and habits to addiction are dissociable. The propensity to develop S-R habits, which in itself is not an aberrant process but the natural consequence of the repetition of instrumental behaviour under conditions of delayed and unpredictable rewards, is distinct from the inability to regain control over maladaptive habits that have become inflexible, such as those that are seen in addicted individuals who compulsively seek and take drugs. It is the rigid nature of drug seeking habits and the associated difficulty in regaining inhibitory control over them that is a core feature of addiction (Belin et al., 2013). The rigidity of maladaptive drug seeking habits can then be seen as stemming from a neurobiological rigidity, either in prefrontal or in striatal areas, perhaps indexed by impaired plasticity in the NAcb (Kasanetz et al., 2010).
Towards new treatments for addiction
Despite the increased understanding of the neural mechanisms of drug reward, drug seeking and taking, compulsivity and vulnerability to addiction and relapse, there has been rather limited progress in utilizing the wealth of preclinical and clinical data to develop new treatments. The introduction of harm reduction approaches has been of major importance, including methadone and nicotine replacement treatment for heroin and nicotine addiction, respectively, and the more recent approval of the opioid receptor antagonist nalmephene to reduce the volumes of alcohol drunk by those abusing alcohol (Soyka, 2014). However, the data reviewed above and more suggest that it should be possible to develop treatments that promote abstinence and decrease the probability of relapse in those trying to maintain an abstinent state. There are different targets in this regard, for example to reduce the impact of stress and anxiety associated with relapse to alcohol use, or to medicate dysphoric and anhedonic states that can persist long into withdrawal from stimulants, nicotine and opiates (Koob & Le Moal, 2005a). The approach I wish to highlight here, however, is prevention of relapse by using treatments that diminish the impact of drug-associated stimuli on drug seeking – although this is not to underestimate the impact of drug contexts, reviewed elsewhere (Crombag et al., 2008; Badiani, 2013; Bossert et al., 2013).
There are abundant data, some reviewed above, showing that drug CSs can evoke craving and relapse, as well as activation of limbic cortical structures including the amygdala, OFC and ventral striatum. Drug CSs can also elicit S-R habits and relapse through implicit processes associated with the dorsal striatum. The impact of drug CSs on limbic cortical–striatal circuitry, craving and relapse may be increased by the loss of prefrontal cortical gating processes which control the extent to which amygdala and hippocampal afferents interact with striatal neurons – interactions that are modulated by DA transmission (Goto & Grace, 2005). Reducing the impact of drug CSs on drug seeking is not a new experimental approach and extinction–reinstatement procedures have perhaps been the most widely used in animal models of relapse (Stewart, 2004). Extinction in these models relates not to drug CSs, as used in cue exposure therapy (Conklin & Tiffany, 2002; Park et al., 2014), but to the instrumental behaviour of lever pressing, i.e. the drug taking response – extinction training that not only omits the drug, but also the drug-associated CS. The reinstatement, or relapse, test is conducted by again presenting the drug CS, but not the drug, following performance of the recently extinguished lever press response (Shalev et al., 2002; Shaham & Miczek, 2003; Epstein et al., 2006; McNally, 2014).
This approach has generated much data on the neural circuitry of relapse, especially that involving interactions between the medial PFC, BLA and NAcb core and the marked alterations in glutamate transmission and homeostasis that underlie the operation of this neural circuitry and has been reviewed in detail elsewhere (Kalivas et al., 2006; Reissner & Kalivas, 2010; Bossert et al., 2013). While it is the case that this procedure provides a low baseline of responding from which to measure the CS- (or drug-, or stress-) induced increase in responding at the relapse test, it should be borne in mind that there is little in common with the establishment of abstinence and relapse in individuals addicted to drugs, including those in treatment programmes. There is rarely evidence of the extinction of drug taking behaviour (injecting placebo instead of drug, for example, although perhaps drinking non-alcoholic drinks might meet this criterion) and, since relapse is instantaneous following extinction, the indications are that extinguishing drug taking in the clinic will not be a very productive approach to treatment. However, these approaches have shown that presentation of the drug-associated CS response-contingently – i.e. as a conditioned reinforcer – rapidly reinstates lever pressing and a variety of pharmacological treatments have been seen to reduce the propensity for reinstatement (Bossert et al., 2005; Yahyavi-Firouz-Abadi & See, 2009; Bossert et al., 2013; McClure et al., 2014). However, it is difficult to disentangle effects of these treatments on extinction learning and retrieval from those that specifically reduce the behavioural effect of drug CS presentation. The interactions between extinction learning and conditioned reinforcement are likely to be complex and are poorly understood.
Increasingly, simply imposing a drug-free period (without instrumental extinction) is used in relapse procedures, so-called enforced abstinence, and these have revealed the phenomenon of ‘incubation’ – often called ‘incubation of drug craving’ – whereby the impact of the drug CS acting as a conditioned reinforcer actually grows or strengthens with increasing durations of the abstinence period, a phenomenon dependent upon a key neuroadaptation in the amygdala (Grimm et al., 2001; Lu et al., 2004; Pickens et al., 2011; Marchant et al., 2013).
In contrast, the approach we have taken is to exploit the first drug-free period of drug seeking under a second-order schedule of reinforcement, a period when behaviour depends critically on response-contingent presentation of drug CSs (Arroyo et al., 1998; Everitt & Robbins, 2000) as well as anticipation of the first drug infusion of the day (Pilla et al., 1999; Di Ciano & Everitt, 2003a; Di Ciano et al., 2003). The reasoning here is that if a pharmacological pre-treatment can reduce or prevent drug seeking, just as omission of drug CS presentations does, then this would indicate a treatment that can diminish drug CS-elicited and maintained seeking of drugs and thereby prevent relapse. Punishment of drug seeking resulting in voluntary abstinence has also been used, although infrequently, in studies of subsequent relapse (Economidou et al., 2009; Marchant et al., 2013).
There have been many findings indicating novel treatments for relapse prevention, often with effects across animal models of drug seeking and relapse. A DA D3 receptor (D3R) antagonist and a D3R partial agonist were perhaps the earliest and most promising, as they were seen to reduce cocaine seeking (Pilla et al., 1999; Le Foll et al., 2002; Di Ciano et al., 2003) and to prevent relapse in reinstatement and other procedures in animals responding for cocaine, nicotine and heroin (Heidbreder, 2013). An important characteristic of D3R antagonism is that it is not associated with debilitating motor or other extra-pyramidal side effects that probably prevent the use of DA D1 or D2 receptor antagonists clinically to prevent relapse, even though they prevent reinstatement in animal models. In clinical trials, a D3R antagonist has shown efficacy in treating methamphetamine addiction (Paterson et al., 2014). However, a new medication has not been approved for clinical use in the treatment of addiction.
The novel μ-opioid receptor antagonist GSK1521498 markedly reduced cocaine and heroin seeking (and in unpublished studies, also alcohol seeking – C. Giuliano, Y. Pena-Oliver and B.J. Everitt) under second-order schedules of reinforcement (Giuliano et al., 2012, 2013), effects that were significantly greater than those of naltrexone, which has been in clinical use for some years to treat alcohol dependence, and also to diminish cue-induced alcohol and cocaine craving (Volpicelli et al., 1992; Davidson et al., 1999; Palfai et al., 1999; Franck et al., 2008; Jayaram-Lindstrom et al., 2008). Here, then, is the potential to target a mechanism that is common to cue-induced drug seeking and relapse across addictive drug classes and with a novel compound that shows greater efficacy than one that is clinically available. However, a commonly held view is that opioid receptor antagonists have only a limited clinical utility – for example to prevent drinking in an alcoholic population—partly because of small effects and poor compliance. An important point to make here is that it seems very unlikely that drugs such as naltrexone, or the novel GSK1521498, will actually stop alcohol-dependent individuals from drinking (even though reducing amounts drunk), or those addicted to cocaine and heroin from using drugs; indeed, the experimental data show limited effects of opioid antagonism when drugs have been self-administered (Giuliano et al., 2013). But they might prevent relapse in individuals who have become abstinent by whatever means. What is needed are clinical trials that are undertaken in a more appropriate way in individuals who have, perhaps recently, become abstinent and to use treatments such as a D3R antagonist, a μ-opioid receptor antagonist – and other promising leads, including a hypocretin-1 receptor antagonist (Martin-Fardon & Weiss, 2014) or mGluR 2/3 receptor agonists (Hao et al., 2010) – to increase the likelihood of maintaining abstinence and preventing relapse occasioned by drug-associated stimuli. Of particular interest is the finding that the γ-aminobutyric acid (GABA)-B receptor agonist baclofen shown to reduce cocaine seeking in rats (Di Ciano & Everitt, 2003b) also reduced craving and associated limbic activations in human cocaine-dependent individuals and, most intriguingly, to do so in response to subliminal cocaine-associated cues (Young et al., 2014), suggesting that enhancing GABA transmission in this way might act also on implicit processes, such as those eliciting S-R habits.
A highly promising treatment has arisen following the work of Kalivas et al. (2006) targeting cocaine-induced alterations in glutamate homeostasis with N-acetyl cysteine (NAC), a cysteine pro-drug that is a substrate for the cysteine/glutamate antiporter. Having first been shown to prevent relapse in both cue and drug extinction–reinstatement procedures (Zhou & Kalivas, 2008; McClure et al., 2014), NAC has subsequently been shown significantly to reduce habitual (aDLS-dependent) cocaine seeking under a second-order schedule of reinforcement (Murray et al., 2012b) and to reduce compulsive cocaine seeking in rats displaying addiction-like behavior after an extensive cocaine taking history, enabling them better to withhold seeking responses even after the cessation of punishment, an effect associated with NAC-induced cellular plasticity in the aDLS (E. Ducret, M. Puaud, J. Lacoste, E. Dugast, A. Belin-Rauscent, J. Murray, B.J. Everitt, J.-L. Houeto and D. Belin, unpublished observations). Few other potential medications have been shown to have efficacy after both short- and long-term drug taking when the mechanisms controlling drug seeking have undergone the transition from action to habit to compulsion. The gradually accumulating clinical data show that NAC is well tolerated in humans and that it can successfully promote abstinence from cocaine, nicotine and cannabis use (McClure et al., 2014).
Despite these and many other therapeutic leads too numerous to recount here, it is apparent that at present we are in an era when many pharmaceutical companies do not have a focus on developing new neuropsychiatric medications in general, let alone medications specifically for addiction, these rarely having been given a high priority. It can only be hoped that this era will soon be over. There may, however, be another approach to addiction treatment which is to use drugs that are currently licensed and clinically approved to treat other neuropsychiatric disorders but instead to promote abstinence and prevent relapse in the treatment of addiction. For example, the noradrenaline selective reuptake inhibitor atomoxetine, which is used clinically in the treatment of attention deficit hyperactivity disorder (ADHD), markedly and dose-dependently reduced cocaine and heroin seeking and also prevented relapse in HI rats that showed a greater propensity to relapse after abstinence (Economidou et al., 2009, 2011). The latter finding may further indicate that treating impulsivity in abstinent stimulant abusers to prevent relapse will be particularly valuable (Dalley et al., 2007; Economidou et al., 2009; Caprioli et al., 2014b). Atomoxetine has also been shown to enhance the long-term extinction of cocaine seeking behaviour (Janak et al., 2012). Trials of atomoxetine in relapse prevention are clearly warranted and without the obstacles associated with introduction of a new medication.
Similarly, the SSRI citalopram dose-dependently reduced well-established cocaine seeking under a second-order schedule of reinforcement and reduced compulsive cocaine seeking (Pelloux et al., 2012). In experiments completed just before her untimely death, Daina Economidou showed that the effects of citalopram to reduce cue-controlled cocaine seeking were mediated by actions in the BLA and OFC, and interactions between these structures (Everitt & Economidou, 2011). It is, however, generally held that antidepressant medications, including SSRIs, have been shown to have limited effectiveness in the treatment of addiction where they have been used to medicate the depressed-like states of dysphoria and anhedonia seen in withdrawal (Covi et al., 1995; Grabowski et al., 1995; Batki et al., 1996). But that is not what is being proposed here. Instead, the relatively high doses of SSRIs used to treat OCD (Moeller et al., 2007), targeting the compulsive habitual nature of cocaine seeking are what might profitably be explored clinically (Vayalapalli et al., 2011; Pelloux et al., 2012), given the commonalities between addiction and OCD in terms of the underlying substrates of compulsion (Robbins et al., 2012; Everitt & Robbins, 2013).
These are but two examples of many in which novel uses of established and well tolerated neuropsychiatric medications could be investigated in well-conducted clinical trials of abstinence promotion in addicted populations. However, there is no doubt that issues of compliance (often stated to be a problem with μ-opioid and SSRI medications) must be addressed, as daily dosing would be required. Rarely have long-term treatment studies been conducted in animals and, in fact, these are extremely difficult given the limitations of the animal models of relapse currently employed.
Modifying drug memories as a relapse prevention treatment
The problems associated with chronic drug treatments to prevent relapse elicited by drug-associated CSs and contexts may, however, be circumvented by translating to the clinic our recent understanding of the neural basis of memory reconsolidation, extinction and interactions between these psychological processes. Memory reconsolidation is the process by which brief reactivation of a memory – usually achieved by brief presentations of a reminder CS or context that are insufficient to engage extinction learning – results in the memory becoming destabilized in the brain, a state from which it must be re-stabilized through de novo protein synthesis in order to persist (Nader et al., 2000b) (Fig. 4). Retrieval-dependent memory plasticity is not a new phenomenon, but experiments by Nader et al. (2000a) first demonstrated that conditioned fear memory reconsolidation could be prevented by intra-amygdala protein synthesis inhibition, resulting in memory erasure and subsequent loss of a fear response on subsequent presentation of the CS (Nader et al., 2000a,b). We subsequently showed that ZIF268, the protein product of the immediate-early gene zif268, was a critical requirement for cued fear memory reconsolidation in the amygdala, and contextual fear memory reconsolidation in the hippocampus (Lee et al., 2004).
We then faced a major challenge when seeking to extend the concept of reconsolidation to drug memories that have relevance to addiction because of the marked differences in conditioning history – one or two CS–footshock pairings are used to establish conditioned fear and the fear response of freezing is readily measured. But the self-administration of drugs over many days means that there are many pairings between cocaine and a CS in order for the CS to support drug seeking and precipitate relapse (Lee & Everitt, 2007). It was not clear that such a strongly conditioned CS–cocaine association would undergo reconsolidation at retrieval. However, despite that concern, we went on to show that knockdown of ZIF268 in the amygdala prevented reconsolidation of a CS–cocaine memory and a marked reduction in the ability of the CS subsequently to act as a conditioned reinforcer to maintain high levels of cocaine seeking or to precipitate relapse (Lee et al., 2005). Importantly, the CS had been paired with cocaine several hundred times during daily cocaine self-administration sessions, yet relatively small numbers of response-contingent or non-contingent CS presentations at reactivation resulted in memory lability and reconsolidation blockade by ZIF268 antisense oligonucleotide infusions into the BLA at retrieval. In terms of intracellular signalling cascades that may interact with ZIF268 expression, inhibition of protein kinase A has been shown to prevent CS-induced reinstatement of cocaine seeking (Sanchez et al., 2010), while inhibition of ERK, and the ERK kinase MEK prevented the reconsolidation of a cocaine-conditioned place preference memory (Miller & Marshall, 2005; Valjent et al., 2006).
These data led to the investigation of neurotransmission mechanisms antecedent to the intracellular signalling cascades underlying reconsolidation, both because of their intrinsic importance and the potential for translation to the clinic. A major focus has been on NMDA receptor-mediated glutamate transmission and β-adrenoceptor-mediated noradrenergic signalling, initially as both had been implicated in the memory consolidation process. Numerous studies have shown that an NMDA receptor antagonist or a β-adrenoceptor antagonist given at memory reactivation can result in a loss of the acquired motivational properties of a drug CS and a reduction in cued reinstatement, drug seeking and relapse (Bernardi et al., 2006; Lee et al., 2006a; Robinson & Franklin, 2007; Fricks-Gleason & Marshall, 2008; Milton et al., 2008a,b). These demonstrations of drug memory reconsolidation impairment have been shown across addictive drugs, including cocaine and alcohol, as well as for heroin withdrawal memories (Hellemans et al., 2006; Milton & Everitt, 2010, 2012a; Milton, 2013). Generally NMDA receptor antagonism is universally effective in preventing drug memory reconsolidation and there is an established link between NMDA receptor activation and ZIF268 expression in the amygdala at memory retrieval (Milton et al., 2008a). There are circumstances, however, in which β-adrenoceptor blockade at reactivation did not prevent reconsolidation, for example an alcohol conditioned place preference (Font & Cunningham, 2012), yet it did decrease responding for an alcohol-associated CS when given in conjunction with alcohol CS memory reactivation in rats having drunk alcohol during daily sessions (Milton et al., 2012). There are many conditions yet to be discovered that will either limit or optimize reconsolidation-based treatment interventions, but there is an accumulated body of evidence to support the view that drug memory reconsolidation is a viable target for treatments of addiction (Taylor et al., 2009; Milton & Everitt, 2010; Milton, 2013; Torregrossa & Taylor, 2013).
Both NMDA receptor and β-adrenoceptor antagonist treatments given at memory reactivation can not only erase or diminish the impact of pavlovian associations underlying conditioned reinforcement, but also those underlying conditioned approach and PIT (or conditioned motivation), suggesting that the several pavlovian influences on drug seeking and relapse can be diminished by a single treatment given at a CS–drug memory reactivation session (Milton & Everitt, 2010; Milton et al., 2010). Here then is a clear advantage of reconsolidation-based treatments for relapse prevention, namely the requirement for only a single or few treatment sessions that could be given in conjunction with currently used cognitive behaviour therapy or even cue exposure treatments. The latter have limited effectiveness in preventing relapse in clinical populations and this is very likely related to the context specificity of extinction learning – extinguishing drug CSs in the clinic does not mean that the cues are extinguished when encountered in the drug user's environment, because the inhibitory CS–no US association formed during extinction learning is expressed predominantly only in the extinction environment (Conklin & Tiffany, 2002). Here there may be another advantage of reconsolidation-based treatments because, so far as is known currently, reconsolidation blockade is not context dependent (Lee & Everitt, 2007). An innovative procedure combining CS–drug memory reconsolidation blockade and enhanced extinction of the drug context using d-cycloserine (DCS) was shown to have greater effectiveness and may have great promise (Torregrossa et al., 2010).
The enhancement of drug CS extinction has also been suggested as a means of reducing relapse, encouraged by the ability of DCS to potentiate conditioned fear memory extinction (Davis, 2002; Lee et al., 2006b). This attractive possibility has not, however, received much experimental or clinical support (see reviews by Taylor et al., 2009; Myers & Carlezon, 2012). Attempts to do so have highlighted a major risk in using DCS to enhance drug CS extinction, which arises through the finding that reconsolidation and extinction are bidirectionally modulated by NMDA receptor antagonists and agonists (Lee et al., 2006b). Thus, NMDA receptor blockade prevents fear memory reconsolidation and extinction, but these manipulations have opposite effects on the fear memory – erasing it after reconsolidation blockade and causing the memory to persist if used to prevent extinction. Treatment with DCS does the opposite, enhancing memory persistence if given in conjunction with brief memory reactivation, but enhancing extinction if given in association with repeated CS presentations in an extinction procedure (Lee et al., 2006b). Therefore, a critical understanding of the conditions of and limiting variables, often called ‘boundary conditions’, of reconsolidation and extinction is essential if a well-intentioned treatment, say to enhance extinction, is not inadvertently to enhance reconsolidation. In the case of CS–cocaine memories, DCS can certainly potentiate reconsolidation and increase the impact of the CS on drug seeking measured subsequently, but we have not been able to demonstrate DCS enhancement of drug memory extinction (Lee et al., 2009). Furthermore, in a preliminary treatment trial in which DCS was used to enhance extinction of a cocaine-associated memory (Price et al., 2013), the DCS-treated group of cocaine abusers subsequently showed an increase, not a decrease, in craving elicited by later exposure to the CS. Although not alluded to as an explanation, it is possible that the repeated presentations of the drug CS were insufficient to engage the extinction process and that DCS actually enhanced reconsolidation and strengthened the drug memory, the opposite of the intended outcome. Notwithstanding the conceptual and practical difficulties, the time is perhaps right to consider controlled trials of drug memory reconsolidation blockade in a treatment setting, with the advantage that a clinically available medication could be used (propranolol or other β-adrenoceptor antagonist) in perhaps only one or few treatment sessions (Taylor et al., 2009; Milton & Everitt, 2010).
A further and final development to which attention should be drawn is the demonstration that extinction training conducted shortly after a brief memory reactivation, sometimes called ‘extinction in the reconsolidation window’, or ‘super-extinction’ results not only in an extinguished, but a seemingly ‘erased’ memory for the original association (Monfils et al., 2009). This was first shown by extinction of a pavlovian fear memory after a brief memory reactivation, which resulted not only in a loss of conditioned fear when tested later, but also a loss of renewal and reinstatement processes that are usually seen after extinction because the original CS–US association is not erased by extinction, only overshadowed by the newly established CS–no US memory. This phenomenon has also been seen in fear conditioning studies in human subjects (Kindt et al., 2009; Schiller et al., 2010). Thus, it seems that when extinction training follows a brief reactivation to induce memory lability, the original CS–US association is in some sense overwritten by the new CS–no US association, rather than an inhibitory CS–no US memory being formed during extinction that serves to reduce conditioned responding, but only in the same context. However, the retrieval–extinction effect is not always demonstrable and there is much to learn about when the effect is seen and the underlying psychological and neural mechanisms (Hutton-Bedbrook & McNally, 2013). Nevertheless, super-extinction has been shown to disrupt CS–drug memories in rats and human heroin-dependent subjects (Xue et al., 2012); a drug conditioned place preference memory and cued relapse to heroin and cocaine seeking could both be super-extinguished by the brief retrieval–extinction training protocol (see Milton & Everitt, 2012b for discussion). Essentially the same procedure was used in a population of in-patients addicted to heroin who were trying to abstain from drug use and the results showed a marked reduction in relapse probability for up to 6 months subsequently (Xue et al., 2012). These data require replication, but they indicate that a tried and tested, but clinically sub-optimal, procedure of cue exposure therapy may be made much more effective by the addition of a brief memory reactivation session briefly before extinction training through repeated non-reinforced CS presentations.
Overview
In summary, this has been a remarkable period of increased understanding of the psychological and neural mechanisms underlying drug reward processes, the taking and seeking of drugs, the neuroadaptations to chronic drug use and the emergence of compulsive drug use and addiction seen in vulnerable individuals. I have in the context of this FENS-EJN award review necessarily highlighted the contributions from our laboratory in Cambridge, but in doing so it was not my intention to diminish or ignore the wealth of data that have been generated by many highly active and successful researchers. The fact is that none of us has the complete answer to addiction, how it develops in some and not the many and why it is so difficult to treat. This probably means there is not an answer, but many, depending on the specific drug and the variety of contexts in which they are taken. However, there are now many clues as to how we might go about introducing new treatments and improving existing ones and that advantage will be taken of these opportunities in the very near future.
Acknowledgments
I would like to acknowledge the immense contributions of my collaborators Trevor Robbins and Tony Dickinson, with whom the theoretical framework of the summarized research was initially developed, Jeff Dalley, David Belin and Amy Milton. I further thank David Belin for criticism of the manuscript and for providing Figs 1 and 2. Many postdoctoral researchers, graduate students and visiting scientists have made major contributions and they include currently in alphabetical order: Johan Alsjö, Emma Cahill, Kristin Feltmann, Chiara Giuliano, Charley Goodlett, Zara Goozee, Emiliano Merlo, Yolanda Pena-Oliver, Adam Mar, Jennifer Murray, Mark Renshaw and George Vousden. Former graduate students and postdoctoral researchers and visitors: Mercedes Arroyo, Martine Cador, Daniele Caprioli, Morgane Besson, Barak Caine, Rudolf Cardinal, Pat DiCiano, Liana Fattore, Jeremy Hall, Kim Hellemans, Dan Hutcheson, Rutsuko Ito, Sietse Jonkman, Joff Lee, Athina Markou, Ruth McNamara, Cella Olmstead, John Parkinson, Maria Pilla, Patricia Robledo, Moritz Schramm, Florence Theberge, Kerrie Thomas, Louk Vanderschuren, Ruth Weissenborn, Rachel Whitelaw and Melissa Woods. I also thank my collaborators: Eric Nestler, Paul Phillips, Jean-Charles Schwarcz, Pierre Sokoloff and Ingo Willuhn. I have been fortunate to have received grant support from the Medical Research Council continuously since I was a graduate student, but especially for the research on addiction summarized here. The Wellcome Trust (with my collaborators Trevor Robbins and Jeff Dalley), the European Union and Human Frontier Science Programme have also supported this work. Finally, I dedicate this review to Daina Economidou, who died in December 2012 when she was contributing in a major way to the research in my laboratory – we all remember Daina as an enthusiastic, supportive and devoted member of the laboratory in Cambridge and she is deeply missed.
Glossary
Abbreviations
- 5CSRTT
five-choice serial reaction-time task
- A
action
- ADHD
attention deficit hyperactivity disorder
- BLA
basolateral amygdala
- CeN
central amygdala
- CS
conditioned stimulus
- D3R
D3 receptor
- DA
dopamine
- DCS
d-cycloserine
- DLS
dosolateral striatum
- DMS
dorsomedial striatum
- ERK
extracellular signal-regulated kinase
- FR
fixed ratio
- HR
high responder
- LI
low impulsivity
- NAC
N-acetyl cysteine
- NAcb
nucleus accumbens
- NMDA
N-methyl-d-aspartate
- O
outcome
- OCD
obsessive-compulsive disorder
- OFC
orbital prefrontal cortex
- PFC
prefrontal cortex
- PIT
pavlovian-instrumental transfer
- SIP
schedule-induced polydipsia
- S-R
stimulus–response
- SSRI
serotonin-selective reuptake inhibitor
References
- Adams CD, Dickinson A. Instrumental responding following reinforcer devaluation. Q. J. Exp. Psychol.-B. 1981;33:109–121. [Google Scholar]
- Ahmed SH, Kenny PJ, Koob GF, Markou A. Neurobiological evidence for hedonic allostasis associated with escalating cocaine use. Nat. Neurosci. 2002;5:625–626. doi: 10.1038/nn872. [DOI] [PubMed] [Google Scholar]
- Ahmed SH, Lin D, Koob GF, Parsons LH. Escalation of cocaine self-administration does not depend on altered cocaine-induced nucleus accumbens dopamine levels. J. Neurochem. 2003;86:102–113. doi: 10.1046/j.1471-4159.2003.01833.x. [DOI] [PubMed] [Google Scholar]
- Alderson HL, Parkinson JA, Robbins TW, Everitt BJ. The effects of excitotoxic lesions of the nucleus accumbens core or shell regions on intravenous heroin self-administration in rats. Psychopharmacology. 2001;153:455–463. doi: 10.1007/s002130000634. [DOI] [PubMed] [Google Scholar]
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Arlington, VA: APA; 2013. [Google Scholar]
- Ansquer S, Belin-Rauscent A, Dugast E, Duran T, Benatru I, Mar AC, Houeto JL, Belin D. Atomoxetine decreases vulnerability to develop compulsivity in high impulsive rats. Biol. Psychiat. 2013;75:825–832. doi: 10.1016/j.biopsych.2013.09.031. [DOI] [PubMed] [Google Scholar]
- Anthony JC, Warner LA, Kessler RC. Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants. Exp. Clin. Psychopharm. 1994;2:244–268. [Google Scholar]
- Arnett J. Sensation seeking – a new conceptualization and a new scale. Pers. Indiv. Differ. 1994;16:289–296. [Google Scholar]
- Arroyo M, Markou A, Robbins TW, Everitt BJ. Acquisition, maintenance and reinstatement of intravenous cocaine self-administration under a second-order schedule of reinforcement in rats: effects of conditioned cues and continuous access to cocaine. Psychopharmacology. 1998;140:331–344. doi: 10.1007/s002130050774. [DOI] [PubMed] [Google Scholar]
- Badiani A. Substance-specific environmental influences on drug use and drug preference in animals and humans. Curr. Opin. Neurobiol. 2013;23:588–596. doi: 10.1016/j.conb.2013.03.010. [DOI] [PubMed] [Google Scholar]
- Baler RD, Volkow ND. Drug addiction: the neurobiology of disrupted self-control. Trends Mol. Med. 2006;12:559–566. doi: 10.1016/j.molmed.2006.10.005. [DOI] [PubMed] [Google Scholar]
- Bassareo V, Di Chiara G. Modulation of feeding-induced activation of mesolimbic dopamine transmission by appetitive stimuli and its relation to motivational state. Eur. J. Neurosci. 1999;11:4389–4397. doi: 10.1046/j.1460-9568.1999.00843.x. [DOI] [PubMed] [Google Scholar]
- Batki SL, Washburn AM, Delucchi K, Jones RT. A controlled trial of fluoxetine in crack cocaine dependence. Drug Alcohol Depen. 1996;41:137–142. doi: 10.1016/0376-8716(96)01233-1. [DOI] [PubMed] [Google Scholar]
- Bechara A. Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat. Neurosci. 2005;8:1458–1463. doi: 10.1038/nn1584. [DOI] [PubMed] [Google Scholar]
- Belin D, Everitt BJ. Cocaine seeking habits depend upon dopamine-dependent serial connectivity linking the ventral with the dorsal striatum. Neuron. 2008;57:432–441. doi: 10.1016/j.neuron.2007.12.019. [DOI] [PubMed] [Google Scholar]
- Belin D, Mar AC, Dalley JW, Robbins TW, Everitt BJ. High impulsivity predicts the switch to compulsive cocaine-taking. Science. 2008;320:1352–1355. doi: 10.1126/science.1158136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Belin D, Berson N, Balado E, Piazza PV, Deroche-Gamonet V. High-novelty-preference rats are predisposed to compulsive cocaine self-administration. Neuropsychopharmacology. 2011;36:569–579. doi: 10.1038/npp.2010.188. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Belin D, Belin-Rauscent A, Murray JE, Everitt BJ. Addiction: failure of control over maladaptive incentive habits. Curr. Opin. Neurobiol. 2013;23:564–572. doi: 10.1016/j.conb.2013.01.025. [DOI] [PubMed] [Google Scholar]
- Belin-Rauscent A, Simon M, Everitt BJ, Benoit-Marand M, Belin D. Corticostriatal interaction subserving incentive habits. Behav. Pharmacol. 2013;24:1.4. [Google Scholar]
- Bernardi RE, Lattal KM, Berger SP. Postretrieval propranolol disrupts a cocaine conditioned place preference. NeuroReport. 2006;17:1443–1447. doi: 10.1097/01.wnr.0000233098.20655.26. [DOI] [PubMed] [Google Scholar]
- Besson M, Pelloux Y, Dilleen R, Theobald DEH, Lyon A, Belin-Rauscent A, Robbins TW, Dalley JW, Everitt BJ, Belin D. Cocaine modulation of frontostriatal expression of Zif268, D2, and 5-HT2c receptors in high and low impulsive rats. Neuropsychopharmacology. 2013;38:1963–1973. doi: 10.1038/npp.2013.95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Blackburn JR, Phillips AG, Jakubovic A, Fibiger HC. Increased dopamine metabolism in the nucleus accumbens and striatum following consumption of a nutritive meal but not a palatable non-nutritive saccharine solution. Pharmacol. Biochem. Be. 1986;25:1095–1100. doi: 10.1016/0091-3057(86)90091-2. [DOI] [PubMed] [Google Scholar]
- Blackburn JR, Phillips AG, Fibiger HC. Dopamine and preparatory behavior. 1. Effects of pimozide. Behav. Neurosci. 1987;101:352–360. doi: 10.1037//0735-7044.101.3.352. [DOI] [PubMed] [Google Scholar]
- Blackburn JR, Phillips AG, Jakubovic A, Fibiger HC. Dopamine and preparatory behavior: II. A neurochemical analysis. Behav. Neurosci. 1989;103:15–23. doi: 10.1037//0735-7044.103.1.15. [DOI] [PubMed] [Google Scholar]
- Bohbot VD, Del Balso D, Conrad K, Konishi K, Leyton M. Caudate nucleus-dependent navigational strategies are associated with increased use of addictive drugs. Hippocampus. 2013;23:973–984. doi: 10.1002/hipo.22187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bossert JM, Ghitza UE, Lu L, Epstein DH, Shaham Y. Neurobiology of relapse to heroin and cocaine seeking: an update and clinical implications. Eur. J. Pharmacol. 2005;526:36–50. doi: 10.1016/j.ejphar.2005.09.030. [DOI] [PubMed] [Google Scholar]
- Bossert JM, Marchant NJ, Calu DJ, Shaham Y. The reinstatement model of drug relapse: recent neurobiological findings, emerging research topics, and translational research. Psychopharmacology. 2013;229:453–476. doi: 10.1007/s00213-013-3120-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Burke KA, Franz TM, Miller DN, Schoenbaum G. The role of the orbitofrontal cortex in the pursuit of happiness and more specific rewards. Nature. 2008;454:340–345. doi: 10.1038/nature06993. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cador M, Robbins TW, Everitt BJ. Involvement of the amygdala in stimulus-reward associations: interaction with the ventral striatum. Neuroscience. 1989;30:77–86. doi: 10.1016/0306-4522(89)90354-0. [DOI] [PubMed] [Google Scholar]
- Calu DJ, Stalnaker TA, Franz TM, Singh T, Shaham Y, Schoenbaum G. Withdrawal from cocaine self-administration produces long-lasting deficits in orbitofrontal-dependent reversal learning in rats. Learn. Memory. 2007;14:325–328. doi: 10.1101/lm.534807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cannella N, Halbout B, Uhrig S, Evrard L, Corsi M, Corti C, Deroche-Gamonet V, Hansson AC, Spanagel R. The mGluR2/3 agonist LY379268 induced anti-reinstatement effects in rats exhibiting addiction-like behavior. Neuropsychopharmacology. 2013;38:2048–2056. doi: 10.1038/npp.2013.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caprioli D, Hong YT, Sawiak SJ, Ferrari V, Williamson DJ, Jupp B, Carpenter TA, Aigbirhio FI, Everitt BJ, Robbins TW, Fryer TD, Dalley JW. Baseline-dependent effects of cocaine pre-exposure on impulsivity and D-2/3 receptor availability in the rat striatum: possible relevance to the attention-deficit hyperactivity syndrome. Neuropsychopharmacology. 2013;38:1460–1471. doi: 10.1038/npp.2013.44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caprioli D, Calu D, Shaham Y. Loss of phasic dopamine: a new addiction marker? Nat. Neurosci. 2014a;17:644–646. doi: 10.1038/nn.3699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caprioli D, Sawiak SJ, Merlo E, Theobald DEH, Spoelder M, Jupp B, Voon V, Carpenter TA, Everitt BJ, Robbins TW, Dalley JW. Gamma aminobutyric acidergic and neuronal structural markers in the nucleus accumbens core underlie trait-like impulsive behavior. Biol. Psychiat. 2014b;75:115–123. doi: 10.1016/j.biopsych.2013.07.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cardinal RN, Cheung TH. Nucleus accumbens core lesions retard instrumental learning and performance with delayed reinforcement in the rat. BMC Neurosci. 2005;6:9. doi: 10.1186/1471-2202-6-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cardinal RN, Everitt BJ. Neural and psychological mechanisms underlying appetitive learning: links to drug addiction. Curr. Opin. Neurobiol. 2004;14:156–162. doi: 10.1016/j.conb.2004.03.004. [DOI] [PubMed] [Google Scholar]
- Cardinal RN, Parkinson JA, Hall J, Everitt BJ. Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex. Neurosci. Biobehav. R. 2002;26:321–352. doi: 10.1016/s0149-7634(02)00007-6. [DOI] [PubMed] [Google Scholar]
- Cardinal RN, Winstanley CA, Robbins TW, Everitt BJ. Limbic corticostriatal systems and delayed reinforcement. Ann. NY Acad. Sci. 2004;1021:33–50. doi: 10.1196/annals.1308.004. [DOI] [PubMed] [Google Scholar]
- Chen BT, Yau H-J, Hatch C, Kusumoto-Yoshida I, Cho SL, Hopf FW, Bonci A. Rescuing cocaine-induced prefrontal cortex hypoactivity prevents compulsive cocaine seeking. Nature. 2013;496:359–362. doi: 10.1038/nature12024. [DOI] [PubMed] [Google Scholar]
- Childress AR, Mozley PD, McElgin W, Fitzgerald J, Reivich M, O'Brien CP. Limbic activation during cue-induced cocaine craving. Am. J. Psychiat. 1999;156:11–18. doi: 10.1176/ajp.156.1.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clarke HF, Dalley JW, Crofts HS, Robbins TW, Roberts AC. Cognitive inflexibility after prefrontal serotonin depletion. Science. 2004;304:878–880. doi: 10.1126/science.1094987. [DOI] [PubMed] [Google Scholar]
- Conklin CA, Tiffany ST. Applying extinction research and theory to cue-exposure in addiction treatments. Addiction. 2002;97:155–167. doi: 10.1046/j.1360-0443.2002.00014.x. [DOI] [PubMed] [Google Scholar]
- Corbit LH, Balleine BW. Double dissociation of basolateral and central amygdala lesions on the general and outcome-specific forms of pavlovian-instrumental transfer. J. Neurosci. 2005;25:962–970. doi: 10.1523/JNEUROSCI.4507-04.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corbit LH, Nie H, Janak PH. Habitual alcohol seeking: time course and the contribution of subregions of the dorsal striatum. Biol. Psychiat. 2012;72:389–395. doi: 10.1016/j.biopsych.2012.02.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Covi L, Hess JM, Kreiter NA, Haertzen CA. Effects of combined fluoxetine and counseling in the outpatient treatment of cocaine abusers. Am. J. Drug Alcohol Ab. 1995;21:327–344. doi: 10.3109/00952999509002701. [DOI] [PubMed] [Google Scholar]
- Crombag HS, Bossert JM, Koya E, Shaham Y. Context-induced relapse to drug seeking: a review. Philos. T. Roy. Soc. B. 2008;363:3233–3243. doi: 10.1098/rstb.2008.0090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dalley JW, Fryer TD, Brichard L, Robinson ESJ, Theobald DEH, Laane K, Pena Y, Murphy ER, Shah Y, Probst K, Abakumova I, Aigbirhio FI, Richards HK, Hong Y, Baron JC, Everitt BJ, Robbins TW. Nucleus Accumbens D2/3 receptors predict trait impulsivity and cocaine reinforcement. Science. 2007;315:1267–1270. doi: 10.1126/science.1137073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dalley JW, Everitt BJ, Robbins TW. Impulsivity, compulsivity, and top-down cognitive control. Neuron. 2011;69:680–694. doi: 10.1016/j.neuron.2011.01.020. [DOI] [PubMed] [Google Scholar]
- Davidson D, Palfai T, Bird C, Swift R. Effects of naltrexone on alcohol self-administration in heavy drinkers. Alcohol. Clin. Exp. Res. 1999;23:195–203. [PubMed] [Google Scholar]
- Davis M. Role of NMDA receptors and MAP kinase in the amygdala in extinction of fear: clinical implications for exposure therapy. Eur. J. Neurosci. 2002;16:395–398. doi: 10.1046/j.1460-9568.2002.02138.x. [DOI] [PubMed] [Google Scholar]
- DePoy L, Daut R, Brigman JL, MacPherson K, Crowley N, Gunduz-Cinar O, Pickens CL, Cinar R, Saksida LM, Kunos G, Lovinger DM, Bussey TJ, Camp MC, Holmes A. Chronic alcohol produces neuroadaptations to prime dorsal striatal learning. Proc. Natl. Acad. Sci. USA. 2013;110:14783–14788. doi: 10.1073/pnas.1308198110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Deroche-Gamonet V, Belin D, Piazza PV. Evidence for addiction-like behavior in the rat. Science. 2004;305:1014–1017. doi: 10.1126/science.1099020. [DOI] [PubMed] [Google Scholar]
- Dezfouli A, Piray P, Keramati MM, Ekhtiari H, Lucas C, Mokri A. A neurocomputational model for cocaine addiction. Neural Comput. 2009;21:2869–2893. doi: 10.1162/neco.2009.10-08-882. [DOI] [PubMed] [Google Scholar]
- Di Chiara G, Imperato A. Drugs abused by humans preferentially increase synaptic dopamine concentrations in the mesolimbic system of freely moving rats. Proc. Natl. Acad. Sci. USA. 1988;85:5274–5278. doi: 10.1073/pnas.85.14.5274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Di Ciano P, Everitt BJ. Differential control over drug-seeking behavior by drug-associated conditioned reinforcers and discriminative stimuli predictive of drug availability. Behav. Neurosci. 2003a;117:952–960. doi: 10.1037/0735-7044.117.5.952. [DOI] [PubMed] [Google Scholar]
- Di Ciano P, Everitt BJ. The GABAB receptor agonist baclofen attenuates cocaine and heroin-seeking behavior by rats. Neuropsychopharmacology. 2003b;28:510–518. doi: 10.1038/sj.npp.1300088. [DOI] [PubMed] [Google Scholar]
- Di Ciano P, Everitt BJ. Direct interactions between the basolateral amygdala and nucleus accumbens core underlie cocaine-seeking behavior by rats. J. Neurosci. 2004;24:7167–7173. doi: 10.1523/JNEUROSCI.1581-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Di Ciano P, Underwood RJ, Hagan JJ, Everitt BJ. Attenuation of cue-controlled cocaine-seeking by a selective D- 3 dopamine receptor antagonist SB-277011-A. Neuropsychopharmacology. 2003;28:329–338. doi: 10.1038/sj.npp.1300148. [DOI] [PubMed] [Google Scholar]
- Dias-Ferreira E, Sousa JC, Melo I, Morgado P, Mesquita AR, Cerqueira JJ, Costa RM, Sousa N. Chronic stress causes frontostriatal reorganization and affects decision-making. Science. 2009;325:621–625. doi: 10.1126/science.1171203. [DOI] [PubMed] [Google Scholar]
- Dickinson A. Actions and habits: the development of behavioural autonomy. Philos. T. Roy. Soc. B. 1985;308:67–78. [Google Scholar]
- Dickinson A, Balleine BB. Motivational control of goal-directed action. Anim. Learn. Behav. 1994;22:1–18. [Google Scholar]
- Dickinson A, Balleine BB, Watt A, Gonzalez F, Boakes RA. Motivational control after extended instrumental training. Anim. Learn. Behav. 1995;23:197–206. [Google Scholar]
- Dickinson A, Wood N, Smith JW. Alcohol seeking by rats: action or habit? Q. J. Exp. Psychol.-B. 2002;55:331–348. doi: 10.1080/0272499024400016. [DOI] [PubMed] [Google Scholar]
- Diergaarde L, Pattij T, Poortvliet I, Hogenboom F, de Vries W, Schoffelmeer ANM, De Vries TJ. Impulsive choice and impulsive action predict vulnerability to distinct stages of nicotine seeking in rats. Biol. Psychiat. 2008;63:301–308. doi: 10.1016/j.biopsych.2007.07.011. [DOI] [PubMed] [Google Scholar]
- Diergaarde L, Pattij T, Nawijn L, Schoffelmeer ANM, De Vries TJ. Trait impulsivity predicts escalation of sucrose seeking and hypersensitivity to sucrose-associated stimuli. Behav. Neurosci. 2009;123:794–803. doi: 10.1037/a0016504. [DOI] [PubMed] [Google Scholar]
- Dilleen R, Pelloux Y, Mar AC, Molander A, Robbins TW, Everitt BJ, Dalley JW, Belin D. High anxiety is a predisposing endophenotype for loss of control over cocaine, but not heroin, self-administration in rats. Psychopharmacology. 2012;222:89–97. doi: 10.1007/s00213-011-2626-4. [DOI] [PubMed] [Google Scholar]
- Dom G, D'Haene P, Hulstijn W, Sabbe B. Impulsivity in abstinent early- and late-onset alcoholics: differences in self-report measures and a discounting task. Addiction. 2006;101:50–59. doi: 10.1111/j.1360-0443.2005.01270.x. [DOI] [PubMed] [Google Scholar]
- Economidou D, Pelloux Y, Robbins TW, Dalley JW, Everitt BJ. High impulsivity predicts relapse to cocaine-seeking after punishment-induced abstinence. Biol. Psychiat. 2009;65:851–856. doi: 10.1016/j.biopsych.2008.12.008. [DOI] [PubMed] [Google Scholar]
- Economidou D, Dalley JW, Everitt BJ. Selective norepinephrine reuptake inhibition by atomoxetine prevents cue-induced cocaine and heroin seeking. Biol. Psychiat. 2011;69:266–274. doi: 10.1016/j.biopsych.2010.09.040. [DOI] [PubMed] [Google Scholar]
- Ehrman RN, Robbins SJ, Childress AR, Goehl L, Hole AV, O'Brien CP. Laboratory exposure to cocaine cues does not increase cocaine use by outpatient subjects. J. Subst. Abuse Treat. 1998;15:431–435. doi: 10.1016/s0740-5472(97)00290-0. [DOI] [PubMed] [Google Scholar]
- Epstein DH, Preston KL, Stewart J, Shaham Y. Toward a model of drug relapse: an assessment of the validity of the reinstatement procedure. Psychopharmacology. 2006;189:1–16. doi: 10.1007/s00213-006-0529-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Fletcher PC, Lewis SJ, Clark L, Stocks-Gee G, London M, Deakin JB, Robbins TW, Sahakian BJ. Abnormal frontal activations related to decision-making in current and former amphetamine and opiate dependent individuals. Psychopharmacology. 2005;180:612–623. doi: 10.1007/s00213-005-2205-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Roiser JP, Robbins TW, Sahakian BJ. Chronic cocaine but not chronic amphetamine use is associated with perseverative responding in humans. Psychopharmacology. 2008;197:421–431. doi: 10.1007/s00213-007-1051-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Turton AJ, Pradhan S, Bullmore ET, Robbins TW. Drug addiction endophenotypes: impulsive versus sensation-seeking personality traits. Biol. Psychiat. 2010;68:770–773. doi: 10.1016/j.biopsych.2010.06.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Barnes A, Jones PS, Morein-Zamir S, Robbins TW, Bullmore ET. Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence. Brain. 2011a;134:2013–2024. doi: 10.1093/brain/awr138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Roiser JP, Abbott S, Craig KJ, Mueller U, Suckling J, Ooi C, Shabbir SS, Clark L, Sahakian BJ, Fineberg NA, Merlo-Pich EV, Robbins TW, Bullmore ET. Response perseveration in stimulant dependence is associated with striatal dysfunction and can be ameliorated by a D-2/3 receptor agonist. Biol. Psychiat. 2011b;70:754–762. doi: 10.1016/j.biopsych.2011.06.033. [DOI] [PubMed] [Google Scholar]
- Ersche KD, Jones PS, Williams GB, Turton AJ, Robbins TW, Bullmore ET. Abnormal brain structure implicated in stimulant drug addiction. Science. 2012a;335:601–604. doi: 10.1126/science.1214463. [DOI] [PubMed] [Google Scholar]
- Ersche KD, Turton AJ, Chamberlain SR, Mueller U, Bullmore ET, Robbins TW. Cognitive dysfunction and anxious-impulsive personality traits are endophenotypes for drug dependence. Am. J. Psychiat. 2012b;169:926–936. doi: 10.1176/appi.ajp.2012.11091421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Jones PS, Williams GB, Smith DG, Bullmore ET, Robbins TW. Distinctive personality traits and neural correlates associated with stimulant drug use versus familial risk of stimulant dependence. Biol. Psychiat. 2013a;74:137–144. doi: 10.1016/j.biopsych.2012.11.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ersche KD, Williams GB, Robbins TW, Bullmore ET. Meta-analysis of structural brain abnormalities associated with stimulant drug dependence and neuroimaging of addiction vulnerability and resilience. Curr. Opin. Neurobiol. 2013b;23:615–624. doi: 10.1016/j.conb.2013.02.017. [DOI] [PubMed] [Google Scholar]
- Everitt BJ. Sexual motivation: a neural and behavioural analysis of the mechanisms underlying appetitive and copulatory responses of male rats. Neurosci. Biobehav. R. 1990;14:217–232. doi: 10.1016/s0149-7634(05)80222-2. [DOI] [PubMed] [Google Scholar]
- Everitt BJ, Economidou D. Serotonergic mechanisms within the orbitofrontal cortex regulate cocaine seeking behaviour. Soc. Neurosci. Abs. 2011:471.16. [Google Scholar]
- Everitt BJ, Robbins TW. Second-order schedules of drug reinforcement in rats and monkeys: measurement of reinforcing efficacy and drug-seeking behaviour. Psychopharmacology. 2000;153:17–30. doi: 10.1007/s002130000566. [DOI] [PubMed] [Google Scholar]
- Everitt BJ, Robbins TW. Neural systems of reinforcement for drug addiction: from actions to habits to compulsion. Nat. Neurosci. 2005;8:1481–1489. doi: 10.1038/nn1579. [DOI] [PubMed] [Google Scholar]
- Everitt BJ, Robbins TW. From the ventral to the dorsal striatum: devolving views of their roles in drug addiction. Neurosci. Biobehav. R. 2013;37:1946–1954. doi: 10.1016/j.neubiorev.2013.02.010. [DOI] [PubMed] [Google Scholar]
- Everitt BJ, Parkinson JA, Olmstead MC, Arroyo M, Robledo P, Robbins TW. Associative processes in addiction and reward. The role of amygdala-ventral striatal subsystems. Ann. NY Acad. Sci. 1999;877:412–438. doi: 10.1111/j.1749-6632.1999.tb09280.x. [DOI] [PubMed] [Google Scholar]
- Everitt BJ, Dickinson A, Robbins TW. The neuropsychological basis of addictive behaviour. Brain Res. Brain Res. Rev. 2001;36:129–138. doi: 10.1016/s0165-0173(01)00088-1. [DOI] [PubMed] [Google Scholar]
- Everitt BJ, Hutcheson DM, Ersche KD, Pelloux Y, Dalley JW, Robbins TW. The orbital prefrontal cortex and drug addiction in laboratory animals and humans. Ann. NY Acad. Sci. 2007;1121:576–597. doi: 10.1196/annals.1401.022. [DOI] [PubMed] [Google Scholar]
- Ferrario CR, Gorny G, Crombag HS, Li YL, Kolb B, Robinson TE. Neural and behavioral plasticity associated with the transition from controlled to escalated cocaine use. Biol. Psychiat. 2005;58:751–759. doi: 10.1016/j.biopsych.2005.04.046. [DOI] [PubMed] [Google Scholar]
- Flagel SB, Clark JJ, Robinson TE, Mayo L, Czuj A, Willuhn I, Akers CA, Clinton SM, Phillips PEM, Akil H. A selective role for dopamine in stimulus-reward learning. Nature. 2011;469:53–57. doi: 10.1038/nature09588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Font L, Cunningham CL. Post-retrieval propranolol treatment does not modulate reconsolidation or extinction of ethanol-induced conditioned place preference. Pharmacol. Biochem. Be. 2012;101:222–230. doi: 10.1016/j.pbb.2012.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Franck J, Hammarberg A, Jayaram-Lindstrom N, Beck O, Reid M. Cue-induced alcohol craving during treatment with acamprosate: a placebo-controlled RCT. Int. J. Neuropsychop. 2008;11:21. [Google Scholar]
- Fricks-Gleason AN, Marshall JF. Post-retrieval b-adrenergic receptor blockade: effects on extinction and reconsolidation of cocaine-cue memories. Learn. Memory. 2008;15:643–648. doi: 10.1101/lm.1054608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Garavan H, Pankiewicz J, Bloom A, Cho JK, Sperry L, Ross TJ, Salmeron BJ, Risinger R, Kelley D, Stein EA. Cue-induced cocaine craving: neuroanatomical specificity for drug users and drug stimuli. Am. J. Psychiat. 2000;157:1789–1798. doi: 10.1176/appi.ajp.157.11.1789. [DOI] [PubMed] [Google Scholar]
- Gawin FH, Kleber HD. Abstinence symptomatology and psychiatric diagnosis in cocaine abusers: clinical observations. Arch. Gen. Psychiat. 1986;43:107–113. doi: 10.1001/archpsyc.1986.01800020013003. [DOI] [PubMed] [Google Scholar]
- Gilpin NW, Koob GF. Neurobiology of alcohol dependence: focus on motivational mechanisms. Alcohol Res. Health. 2008;31:185–195. [PMC free article] [PubMed] [Google Scholar]
- Giuliano C, Robbins TW, Nathan PJ, Bullmore ET, Everitt BJ. Inhibition of opioid transmission at the mu-opioid receptor prevents both food seeking and binge-like eating. Neuropsychopharmacology. 2012;37:2643–2652. doi: 10.1038/npp.2012.128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Giuliano C, Robbins TW, Wille DR, Bullmore ET, Everitt BJ. Attenuation of cocaine and heroin seeking by mu-opioid receptor antagonism. Psychopharmacology. 2013;227:137–147. doi: 10.1007/s00213-012-2949-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goldstein RZ, Leskovjan AC, Hoff AL, Hitzemann R, Bashan F, Khalsa SS, Wang GJ, Fowler JS, Volkow ND. Severity of neuropsychological impairment in cocaine and alcohol addiction: association with metabolism in the prefrontal cortex. Neuropsychologia. 2004;42:1447–1458. doi: 10.1016/j.neuropsychologia.2004.04.002. [DOI] [PubMed] [Google Scholar]
- Goto Y, Grace AA. Dopaminergic modulation of limbic and cortical drive of nucleus accumbens in goal-directed behavior. Nat. Neurosci. 2005;8:805–812. doi: 10.1038/nn1471. [DOI] [PubMed] [Google Scholar]
- Grabowski J, Rhoades H, Elk R, Schmitz J, Davis C, Creson D, Kirby K. Fluoxetine is ineffective for treatment of cocaine dependence or concurrent opiate and cocaine dependence – 2 placebo-controlled, double-blind trials. J. Clin. Psychopharm. 1995;15:163–174. doi: 10.1097/00004714-199506000-00004. [DOI] [PubMed] [Google Scholar]
- Grant S, London ED, Newlin DB, Villemagne VL, Xiang L, Contoreggi C, Phillips RL, Kimes AS, Margolin A. Activation of memory circuits during cue-elicited cocaine craving. Proc. Natl. Acad. Sci. USA. 1996;93:12040–12045. doi: 10.1073/pnas.93.21.12040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grimm JW, Hope BT, Wise RA, Shaham Y. Neuroadaptation – incubation of cocaine craving after withdrawal. Nature. 2001;412:141–142. doi: 10.1038/35084134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Haber SN, Fudge JL, McFarland NR. Striatonigral pathways in primates form an ascending spiral from the shell to the dorsolateral striatum. J. Neurosci. 2000;20:2369–2382. doi: 10.1523/JNEUROSCI.20-06-02369.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hall J, Parkinson JA, Connor TM, Dickinson A, Everitt BJ. Involvement of the central nucleus of the amygdala and nucleus accumbens core in mediating Pavlovian influences on instrumental behaviour. Eur. J. Neurosci. 2001;13:1984–1992. doi: 10.1046/j.0953-816x.2001.01577.x. [DOI] [PubMed] [Google Scholar]
- Han JS, McMahan RW, Holland P, Gallagher M. The role of an amygdalo-nigrostriatal pathway in associative learning. J. Neurosci. 1997;17:3913–3919. doi: 10.1523/JNEUROSCI.17-10-03913.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hao Y, Martin-Fardon R, Weiss F. Behavioral and functional evidence of metabotropic glutamate receptor 2/3 and metabotropic glutamate receptor 5 dysregulation in cocaine-escalated rats: factor in the transition to dependence. Biol. Psychiat. 2010;68:240–248. doi: 10.1016/j.biopsych.2010.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heidbreder C. Rationale in support of the use of selective dopamine D(3) receptor antagonists for the pharmacotherapeutic management of substance use disorders. N.-S. Arch. Pharmacol. 2013;386:167–176. doi: 10.1007/s00210-012-0803-6. [DOI] [PubMed] [Google Scholar]
- Hellemans KG, Everitt BJ, Lee JL. Disrupting reconsolidation of conditioned withdrawal memories in the basolateral amygdala reduces suppression of heroin seeking in rats. J. Neurosci. 2006;26:12694–12699. doi: 10.1523/JNEUROSCI.3101-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hester R, Garavan H. Executive dysfunction in cocaine addiction: evidence for discordant frontal, cingulate, and cerebellar activity. J. Neurosci. 2004;24:11017–11022. doi: 10.1523/JNEUROSCI.3321-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hutton-Bedbrook K, McNally GP. The promises and pitfalls of retrieval-extinction procedures in preventing relapse to drug seeking. Front. Psychiatry. 2013;4:14. doi: 10.3389/fpsyt.2013.00014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ikemoto S, Wise RA. Mapping of chemical trigger zones for reward. Neuropharmacology. 2004;47:190–201. doi: 10.1016/j.neuropharm.2004.07.012. [DOI] [PubMed] [Google Scholar]
- Ikemoto S, Qin M, Liu ZH. The functional divide for primary reinforcement of d-amphetamine lies between the medial and lateral ventral striatum: is the division of the accumbens core, shell, and olfactory tubercle valid? J. Neurosci. 2005;25:5061–5065. doi: 10.1523/JNEUROSCI.0892-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Im HI, Hollander JA, Bali P, Kenny PJ. MeCP2 controls BDNF expression and cocaine intake through homeostatic interactions with microRNA-212. Nat. Neurosci. 2010;13:1120–1127. doi: 10.1038/nn.2615. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ito R, Dalley JW, Robbins TW, Everitt BJ. Dopamine release in the dorsal striatum during cocaine-seeking behavior under the control of a drug-associated cue. J. Neurosci. 2002;22:6247–6253. doi: 10.1523/JNEUROSCI.22-14-06247.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ito R, Robbins TW, Everitt BJ. Differential control over cocaine-seeking behavior by nucleus accumbens core and shell. Nat. Neurosci. 2004;7:389–397. doi: 10.1038/nn1217. [DOI] [PubMed] [Google Scholar]
- Janak PH, Bowers MS, Corbit LH. Compound stimulus presentation and the norepinephrine reuptake inhibitor atomoxetine enhance long-term extinction of cocaine-seeking behavior. Neuropsychopharmacology. 2012;37:975–985. doi: 10.1038/npp.2011.281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jayaram-Lindstrom N, Hammarberg A, Beck O, Franck J. Naltrexone for the treatment of amphetamine dependence: a randomized, placebo-controlled trial. Am. J. Psychiat. 2008;165:1442–1448. doi: 10.1176/appi.ajp.2008.08020304. [DOI] [PubMed] [Google Scholar]
- Jedynak JP, Uslaner JM, Esteban JA, Robinson TE. Methamphetamine-induced structural plasticity in the dorsal striatum. Eur. J. Neurosci. 2007;25:847–853. doi: 10.1111/j.1460-9568.2007.05316.x. [DOI] [PubMed] [Google Scholar]
- Jentsch JD, Taylor JR. Impulsivity resulting from frontostriatal dysfunction in drug abuse: implications for the control of behavior by reward-related stimuli. Psychopharmacology. 1999;146:373–390. doi: 10.1007/pl00005483. [DOI] [PubMed] [Google Scholar]
- Jonkman S, Kenny PJ. Molecular, cellular, and structural mechanisms of cocaine addiction: a key role for microRNAs. Neuropsychopharmacology. 2013;38:198–211. doi: 10.1038/npp.2012.120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jonkman S, Pelloux Y, Everitt BJ. Differential roles of the dorsolateral and midlateral striatum in punished cocaine seeking. J. Neurosci. 2012a;32:4645–4650. doi: 10.1523/JNEUROSCI.0348-12.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jonkman S, Pelloux Y, Everitt BJ. Drug intake is sufficient, but conditioning is not necessary for the emergence of compulsive cocaine seeking after extended self-administration. Neuropsychopharmacology. 2012b;37:1612–1619. doi: 10.1038/npp.2012.6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kalivas PW, Volkow ND. The neural basis of addiction: a pathology of motivation and choice. Am. J. Psychiat. 2005;162:1403–1413. doi: 10.1176/appi.ajp.162.8.1403. [DOI] [PubMed] [Google Scholar]
- Kalivas PW, Peters J, Knackstedt L. Animal models and brain circuits in drug addiction. Mol. Interv. 2006;6:339–344. doi: 10.1124/mi.6.6.7. [DOI] [PubMed] [Google Scholar]
- Kasanetz F, Deroche-Gamonet V, Berson N, Balado E, Lafourcade M, Manzoni O, Piazza PV. Transition to addiction is associated with a persistent impairment in synaptic plasticity. Science. 2010;328:1709–1712. doi: 10.1126/science.1187801. [DOI] [PubMed] [Google Scholar]
- Kaufman JN, Ross TJ, Stein EA, Garavan H. Cingulate hypoactivity in cocaine users during a GO-NOGO task as revealed by event-related functional magnetic resonance imaging. J. Neurosci. 2003;23:7839–7843. doi: 10.1523/JNEUROSCI.23-21-07839.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Killcross S, Coutureau E. Coordination of actions and habits in the medial prefrontal cortex of rats. Cereb. Cortex. 2003;13:400–408. doi: 10.1093/cercor/13.4.400. [DOI] [PubMed] [Google Scholar]
- Kindt M, Soeter M, Vervliet B. Beyond extinction: erasing human fear responses and preventing the return of fear. Nat. Neurosci. 2009;12:256–258. doi: 10.1038/nn.2271. [DOI] [PubMed] [Google Scholar]
- Koob GF. Drug addiction: the Yin and Yang of hedonic homeostasis. Neuron. 1996;16:893–896. doi: 10.1016/s0896-6273(00)80109-9. [DOI] [PubMed] [Google Scholar]
- Koob GF. A role for brain stress systems in addiction. Neuron. 2008;59:11–34. doi: 10.1016/j.neuron.2008.06.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koob GF, Le Moal M. Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology. 2001;24:97–129. doi: 10.1016/S0893-133X(00)00195-0. [DOI] [PubMed] [Google Scholar]
- Koob GF, Le Moal M. Neurobiology of Addiction. San Diego, CA: Academic Press; 2005a. [Google Scholar]
- Koob GF, Le Moal M. Plasticity of reward neurocircuitry and the ‘dark side’ of drug addiction. Nat. Neurosci. 2005b;8:1442–1444. doi: 10.1038/nn1105-1442. [DOI] [PubMed] [Google Scholar]
- Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology. 2010;35:217–238. doi: 10.1038/npp.2009.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koob GF, Ahmed SH, Boutrel B, Chen SA, Kenny PJ, Markou A, O'Dell LE, Parsons LH, Sanna PP. Neurobiological mechanisms in the transition from drug use to drug dependence. Neurosci. Biobehav. R. 2004;27:739–749. doi: 10.1016/j.neubiorev.2003.11.007. [DOI] [PubMed] [Google Scholar]
- Kreek MJ, Nielsen DA, Butelman ER, LaForge KS. Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nat. Neurosci. 2005;8:1450–1457. doi: 10.1038/nn1583. [DOI] [PubMed] [Google Scholar]
- Le Foll B, Frances H, Diaz J, Schwartz JC, Sokoloff P. Role of the dopamine D3 receptor in reactivity to cocaine-associated cues in mice. Eur. J. Neurosci. 2002;15:2016–2026. doi: 10.1046/j.1460-9568.2002.02049.x. [DOI] [PubMed] [Google Scholar]
- Lee JLC, Everitt BJ. Reactivation-Dependent Amnesia: Disrupting Memory Reconsolidation as a Novel Approach for the Treatment of Maladaptive Memory Disorders. Paris, France: Fdn Ipsen; 2007. [Google Scholar]
- Lee JL, Everitt BJ, Thomas KL. Independent cellular processes for hippocampal memory consolidation and reconsolidation. Science. 2004;304:839–843. doi: 10.1126/science.1095760. [DOI] [PubMed] [Google Scholar]
- Lee JL, Di Ciano P, Thomas KL, Everitt BJ. Disrupting reconsolidation of drug memories reduces cocaine-seeking behavior. Neuron. 2005;47:795–801. doi: 10.1016/j.neuron.2005.08.007. [DOI] [PubMed] [Google Scholar]
- Lee JL, Milton AL, Everitt BJ. Cue-induced cocaine seeking and relapse are reduced by disruption of drug memory reconsolidation. J. Neurosci. 2006a;26:5881–5887. doi: 10.1523/JNEUROSCI.0323-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee JLC, Milton AL, Everitt BJ. Reconsolidation and extinction of conditioned fear: inhibition and potentiation. J. Neurosci. 2006b;26:10051–10056. doi: 10.1523/JNEUROSCI.2466-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee JL, Gardner RJ, Butler VJ, Everitt BJ. D-cycloserine potentiates the reconsolidation of cocaine-associated memories. Learn. Memory. 2009;16:82–85. doi: 10.1101/lm.1186609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Letchworth SR, Daunais JB, Hedgecock AA, Porrino LJ. Effects of chronic cocaine administration on dopamine transporter mRNA and protein in the rat. Brain Res. 1997;750:214–222. doi: 10.1016/s0006-8993(96)01384-4. [DOI] [PubMed] [Google Scholar]
- Letchworth SR, Nader MA, Smith HR, Friedman DP, Porrino LJ. Progression of changes in dopamine transporter binding site density as a result of cocaine self-administration in rhesus monkeys. J. Neurosci. 2001;21:2799–2807. doi: 10.1523/JNEUROSCI.21-08-02799.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu L, Grimm JW, Hope BT, Shaham Y. Incubation of cocaine craving after withdrawal: a review of preclinical data. Neuropharmacology. 2004;47:214–226. doi: 10.1016/j.neuropharm.2004.06.027. [DOI] [PubMed] [Google Scholar]
- Lu L, Hope BT, Dempsey J, Liu SY, Bossert JM, Shaham Y. Central amygdala ERK signaling pathway is critical to incubation of cocaine craving. Nat. Neurosci. 2005;8:212–219. doi: 10.1038/nn1383. [DOI] [PubMed] [Google Scholar]
- Marchant NJ, Li X, Shaham Y. Recent developments in animal models of drug relapse. Curr. Opin. Neurobiol. 2013;23:675–683. doi: 10.1016/j.conb.2013.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin-Fardon R, Weiss F. Blockade of hypocretin receptor-1 preferentially prevents cocaine seeking: comparison with natural reward seeking. NeuroReport. 2014;25:485–488. doi: 10.1097/WNR.0000000000000120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McClure EA, Gipson CD, Malcolm RJ, Kalivas PW, Gray KM. Potential role of N-acetylcysteine in the management of substance use disorders. CNS Drugs. 2014;28:95–106. doi: 10.1007/s40263-014-0142-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McFarland K, Kalivas PW. The circuitry mediating cocaine-induced reinstatement of drug-seeking behavior. J. Neurosci. 2001;21:8655–8663. doi: 10.1523/JNEUROSCI.21-21-08655.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McNally GP. Extinction of drug seeking: neural circuits and approaches to augmentation. Neuropharmacology. 2014;76:528–532. doi: 10.1016/j.neuropharm.2013.06.007. [DOI] [PubMed] [Google Scholar]
- McNamara R, Dalley JW, Robbins TW, Everitt BJ, Belin D. Trait-like impulsivity does not predict escalation of heroin self-administration in the rat. Psychopharmacology. 2010;212:453–464. doi: 10.1007/s00213-010-1974-9. [DOI] [PubMed] [Google Scholar]
- Meunier D, Ersche KD, Craig KJ, Fornito A, Merlo-Pich E, Fineberg NA, Shabbir SS, Robbins TW, Bullmore ET. Brain functional connectivity in stimulant drug dependence and obsessive-compulsive disorder. NeuroImage. 2012;59:1461–1468. doi: 10.1016/j.neuroimage.2011.08.003. [DOI] [PubMed] [Google Scholar]
- Miles FJ, Everitt BJ, Dickinson A. Oral cocaine seeking by rats: action or habit? Behav. Neurosci. 2003;117:927–938. doi: 10.1037/0735-7044.117.5.927. [DOI] [PubMed] [Google Scholar]
- Miller CA, Marshall JF. Molecular substrates for retrieval and reconsolidation of cocaine-associated contextual memory. Neuron. 2005;47:873–884. doi: 10.1016/j.neuron.2005.08.006. [DOI] [PubMed] [Google Scholar]
- Milton AL. Drink, drugs and disruption: memory manipulation for the treatment of addiction. Curr. Opin. Neurobiol. 2013;23:706–712. doi: 10.1016/j.conb.2012.11.008. [DOI] [PubMed] [Google Scholar]
- Milton AL, Everitt BJ. The psychological and neurochemical mechanisms of drug memory reconsolidation: implications for the treatment of addiction. Eur. J. Neurosci. 2010;31:2308–2319. doi: 10.1111/j.1460-9568.2010.07249.x. [DOI] [PubMed] [Google Scholar]
- Milton AL, Everitt BJ. The persistence of maladaptive memory: addiction, drug memories and anti-relapse treatments. Neurosci. Biobehav. R. 2012a;36:1119–1139. doi: 10.1016/j.neubiorev.2012.01.002. [DOI] [PubMed] [Google Scholar]
- Milton AL, Everitt BJ. Wiping drug memories. Science. 2012b;336:167–168. doi: 10.1126/science.1221691. [DOI] [PubMed] [Google Scholar]
- Milton AL, Lee JL, Butler VJ, Gardner R, Everitt BJ. Intra-amygdala and systemic antagonism of NMDA receptors prevents the reconsolidation of drug-associated memory and impairs subsequently both novel and previously acquired drug-seeking behaviors. J. Neurosci. 2008a;28:8230–8237. doi: 10.1523/JNEUROSCI.1723-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Milton AL, Lee JL, Everitt BJ. Reconsolidation of appetitive memories for both natural and drug reinforcement is dependent on ß-adrenergic receptors. Learn. Memory. 2008b;15:88–92. doi: 10.1101/lm.825008. [DOI] [PubMed] [Google Scholar]
- Milton AL, Schramm MJW, Wawrzynski J, Gore F, Oikonomou-Mpegeti F, Wang N, Samuel D, Economidou D, Everitt BJ. Reactivation-dependent amnesia for ethanol-reinforced pavlovian-instrumental transfer and autoshaping is dependent upon NMDA receptors, but not beta-adrenergic receptors. Psychopharmacology. 2010;219:751–761. doi: 10.1007/s00213-011-2399-9. [DOI] [PubMed] [Google Scholar]
- Milton AL, Schramm MJW, Wawrzynski JR, Gore F, Oikonomou-Mpegeti F, Wang NQ, Samuel D, Economidou D, Everitt BJ. Antagonism at NMDA receptors, but not beta-adrenergic receptors, disrupts the reconsolidation of pavlovian conditioned approach and instrumental transfer for ethanol-associated conditioned stimuli. Psychopharmacology. 2012;219:751–761. doi: 10.1007/s00213-011-2399-9. [DOI] [PubMed] [Google Scholar]
- Mishkin M, Malamut B, Bachevalier J. Memories and habits: two neural systems. In: Weinberger NM, McGaugh JL, editors. Neurobiology of Human Learning and Memory. New York, NY: The Guildford Press; 1984. pp. 65–87. [Google Scholar]
- Moeller FG, Schmitz JM, Steinberg JL, Green CM, Reist C, Lai LY, Swann AC, Grabowski J. Citalopram combined with behavioral therapy reduces cocaine use: a double-blind, placebo-controlled trial. Am. J. Drug Alcohol Ab. 2007;33:367–378. doi: 10.1080/00952990701313686. [DOI] [PubMed] [Google Scholar]
- Mogenson G, Jones DL, Yim CY. From motivation to action: functional interface between the limbic system and the motor system. Prog. Neurobiol. 1984;14:69–97. doi: 10.1016/0301-0082(80)90018-0. [DOI] [PubMed] [Google Scholar]
- Monfils MH, Cowansage KK, Klann E, LeDoux JE. Extinction-reconsolidation boundaries: key to persistent attenuation of fear memories. Science. 2009;324:951–955. doi: 10.1126/science.1167975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moore RJ, Vinsant SL, Nader MA, Porrino LJ, Friedman DP. Effect of cocaine self-administration on dopamine D-2 receptors in rhesus monkeys. Synapse. 1998;30:88–96. doi: 10.1002/(SICI)1098-2396(199809)30:1<88::AID-SYN11>3.0.CO;2-L. [DOI] [PubMed] [Google Scholar]
- Murray JE, Belin D, Everitt BJ. Double dissociation of the dorsomedial and dorsolateral striatal control over the acquisition and performance of cocaine seeking. Neuropsychopharmacology. 2012a;37:2456–2466. doi: 10.1038/npp.2012.104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Murray JE, Everitt BJ, Belin D. N-acetylcysteine reduces early- and late-stage cocaine seeking without affecting cocaine taking in rats. Addict. Biol. 2012b;17:437–440. doi: 10.1111/j.1369-1600.2011.00330.x. [DOI] [PubMed] [Google Scholar]
- Murray JE, Belin D, Everitt BJ. Hollywood, FL: 2013a. Basolateral and central nuclei of the amygdala required for the transition to dorsolateral dopamine control over habitual cocaine seeking. 51st Annual Meeting of the American College of Neuropsychopharmacology, p. M5. [Google Scholar]
- Murray JE, Dilleen R, Pelloux Y, Economidou D, Dalley JW, Belin D, Everitt BJ. Increased impulsivity retards the transition to dorsolateral striatal dopamine control of cocaine seeking. Biol. Psychiat. 2013b doi: 10.1016/j.biopsych.2013.09.011. doi: 10.1016/j.biopsych.2013.09.011. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- Myers KM, Carlezon WA., Jr d-cycloserine effects on extinction of conditioned responses to drug-related cues. Biol. Psychiat. 2012;71:947–955. doi: 10.1016/j.biopsych.2012.02.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nader K, Schafe GE, LeDoux JE. Fear memories require protein synthesis in the amygdala for reconsolidation after retrieval. Nature. 2000a;406:722–726. doi: 10.1038/35021052. [DOI] [PubMed] [Google Scholar]
- Nader K, Schafe GL, LeDoux JE. The labile nature of consolidation theory. Nat. Rev. Neurosci. 2000b;1:216–219. doi: 10.1038/35044580. [DOI] [PubMed] [Google Scholar]
- Nader MA, Daunais JB, Moore T, Nader SH, Moore RJ, Smith HR, Friedman DP, Porrino LJ. Effects of cocaine self-administration on striatal dopamine systems in rhesus monkeys: initial and chronic exposure. Neuropsychopharmacology. 2002;27:35–46. doi: 10.1016/S0893-133X(01)00427-4. [DOI] [PubMed] [Google Scholar]
- Nelson A, Killcross S. Amphetamine exposure enhances habit formation. J. Neurosci. 2006;26:3805–3812. doi: 10.1523/JNEUROSCI.4305-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nestler EJ. Is there a common molecular pathway for addiction? Nat. Neurosci. 2005;8:1445–1449. doi: 10.1038/nn1578. [DOI] [PubMed] [Google Scholar]
- Nestler EJ. Epigenetic mechanisms of drug addiction. Neuropharmacology. 2014;76:259–268. doi: 10.1016/j.neuropharm.2013.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- O'Brien CP, McLellan AT. Myths about the treatment of addiction. Lancet. 1996;347:237–240. doi: 10.1016/s0140-6736(96)90409-2. [DOI] [PubMed] [Google Scholar]
- O'Brien CP, Childress AR, Ehrman R, Robbins SJ. Conditioning factors in drug abuse: can they explain compulsion? J. Psychopharmacol. 1998;12:15–22. doi: 10.1177/026988119801200103. [DOI] [PubMed] [Google Scholar]
- O'Doherty J, Dayan P, Schultz J, Deichmann R, Friston K, Dolan RJ. Dissociable roles of ventral and dorsal striatum in instrumental conditioning. Science. 2004;304:452–454. doi: 10.1126/science.1094285. [DOI] [PubMed] [Google Scholar]
- Olmstead MC, Parkinson JA, Miles FJ, Everitt BJ, Dickinson A. Cocaine-seeking by rats: regulation, reinforcement and activation. Psychopharmacology. 2000;152:123–131. doi: 10.1007/s002130000498. [DOI] [PubMed] [Google Scholar]
- Olmstead MC, Lafond MV, Everitt BJ, Dickinson A. Cocaine seeking by rats is a goal-directed action. Behav. Neurosci. 2001;115:394–402. [PubMed] [Google Scholar]
- Ostlund SB, Balleine BW. Lesions of medial prefrontal cortex disrupt the acquisition but not the expression of goal-directed learning. J. Neurosci. 2005;25:7763–7770. doi: 10.1523/JNEUROSCI.1921-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ostlund SB, Balleine BW. The contribution of orbitofrontal cortex to action selection. Ann. NY Acad. Sci. 2007;1121:174–192. doi: 10.1196/annals.1401.033. [DOI] [PubMed] [Google Scholar]
- Palfai T, Davidson D, Swift R. Influence of naltrexone on cue-elicited craving among hazardous drinkers: the moderational role of positive outcome expectancies. Exp. Clin. Psychopharm. 1999;7:266–273. doi: 10.1037//1064-1297.7.3.266. [DOI] [PubMed] [Google Scholar]
- Park C-B, Choi J-S, Park SM, Lee J-Y, Jung HY, Seol J-M, Hwang JY, Gwak AR, Kwon JS. Comparison of the effectiveness of virtual cue exposure therapy and cognitive behavioral therapy for nicotine dependence. Cyberpsychol. Behav. Soc. Netw. 2014;17:262–267. doi: 10.1089/cyber.2013.0253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parkinson JA, Olmstead MC, Burns LH, Robbins TW, Everitt BJ. Dissociation in effects of lesions of the nucleus accumbens core and shell on appetitive pavlovian approach behavior and the potentiation of conditioned reinforcement and locomotor activity by d-amphetamine. J. Neurosci. 1999;19:2401–2411. doi: 10.1523/JNEUROSCI.19-06-02401.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Parkinson JA, Robbins TW, Everitt BJ. Dissociable roles of the central and basolateral amygdala in appetitive emotional learning. Eur. J. Neurosci. 2000;12:405–413. doi: 10.1046/j.1460-9568.2000.00960.x. [DOI] [PubMed] [Google Scholar]
- Parkinson JA, Crofts HC, McGuigan M, Everitt BJ, Roberts AC. Reconciling the role of the primate amygdala in conditioned reinforcement: implications for interactions with the orbitofrontal cortex. Brain Cognition. 2001;47:40–43. [Google Scholar]
- Paterson NE, Vocci F, Sevak RJ, Wagreich E, London ED. Dopamine D3 receptors as a therapeutic target for methamphetamine dependence. Am. J. Drug Alcohol Ab. 2014;40:1–9. doi: 10.3109/00952990.2013.858723. [DOI] [PubMed] [Google Scholar]
- Pelloux Y, Everitt BJ, Dickinson A. Compulsive drug seeking by rats under punishment: effects of drug taking history. Psychopharmacology. 2007;194:127–137. doi: 10.1007/s00213-007-0805-0. [DOI] [PubMed] [Google Scholar]
- Pelloux Y, Dilleen R, Economidou D, Theobald D, Everitt BJ. Reduced forebrain serotonin transmission is causally involved in the development of compulsive cocaine seeking in rats. Neuropsychopharmacology. 2012;37:2505–2514. doi: 10.1038/npp.2012.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pelloux Y, Murray JE, Everitt BJ. Differential roles of the prefrontal cortical subregions and basolateral amygdala in compulsive cocaine seeking and relapse after voluntary abstinence in rats. Eur. J. Neurosci. 2013;38:3018–3026. doi: 10.1111/ejn.12289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Piazza PV, Deminière JM, Le Moal M, Simon H. Factors that predict individual vulnerability to amphetamine self-administration. Science. 1989;245:1511–1513. doi: 10.1126/science.2781295. [DOI] [PubMed] [Google Scholar]
- Pickens CL, Airavaara M, Theberge F, Fanous S, Hope BT, Shaham Y. Neurobiology of the incubation of drug craving. Trends Neurosci. 2011;34:411–420. doi: 10.1016/j.tins.2011.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pilla M, Perachon S, Sautel F, Garrido F, Mann A, Wermuth CG, Schwartz JC, Everitt BJ, Sokoloff P. Selective inhibition of cocaine-seeking behaviour by a partial dopamine D-3 receptor agonist. Nature. 1999;400:371–375. doi: 10.1038/22560. [DOI] [PubMed] [Google Scholar]
- Piray P, Keramati MM, Dezfouli A, Lucas C, Mokri A. Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: a computational approach. Neural Comput. 2010;22:2334–2368. doi: 10.1162/NECO_a_00009. [DOI] [PubMed] [Google Scholar]
- Porrino LJ, Lyons D, Smith HR, Daunais JB, Nader MA. Cocaine self-administration produces a progressive involvement of limbic, association, and sensorimotor striatal domains. J. Neurosci. 2004;24:3554–3562. doi: 10.1523/JNEUROSCI.5578-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Price KL, Baker NL, McRae-Clark AL, Saladin ME, DeSantis SM, Ana EJS, Brady KT. A randomized, placebo-controlled laboratory study of the effects of d-cycloserine on craving in cocaine-dependent individuals. Psychopharmacology. 2013;226:739–746. doi: 10.1007/s00213-011-2592-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reissner KJ, Kalivas PW. Using glutamate homeostasis as a target for treating addictive disorders. Behav. Pharmacol. 2010;21:514–522. doi: 10.1097/FBP.0b013e32833d41b2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robbins TW, Everitt BJ. Drug addiction: bad habits add up. Nature. 1999;398:567–570. doi: 10.1038/19208. [DOI] [PubMed] [Google Scholar]
- Robbins TW, Everitt BJ. Limbic-striatal memory systems and drug addiction. Neurobiol. Learn. Mem. 2002;78:625–636. doi: 10.1006/nlme.2002.4103. [DOI] [PubMed] [Google Scholar]
- Robbins TW, Cador M, Taylor JR, Everitt BJ. Limbic-striatal interactions in reward-related processes. Neurosci. Biobehav. R. 1989;13:155–162. doi: 10.1016/s0149-7634(89)80025-9. [DOI] [PubMed] [Google Scholar]
- Robbins TW, Ersche KD, Everitt BJ. Drug addiction and the memory systems of the brain. Ann. NY Acad. Sci. 2008;1141:1–21. doi: 10.1196/annals.1441.020. [DOI] [PubMed] [Google Scholar]
- Robbins TW, Gillan CM, Smith DG, de Wit S, Ersche KD. Neurocognitive endophenotypes of impulsivity and compulsivity: towards dimensional psychiatry. Trends Cogn. Sci. 2012;16:81–91. doi: 10.1016/j.tics.2011.11.009. [DOI] [PubMed] [Google Scholar]
- Roberts DC, Koob GF. Disruption of cocaine self-administration following 6-hydroxydopamine lesions of the ventral tegmental area in rats. Pharmacol. Biochem. Be. 1982;17:901–904. doi: 10.1016/0091-3057(82)90469-5. [DOI] [PubMed] [Google Scholar]
- Robinson TE, Berridge KC. The neural basis of drug craving: an incentive-sensitization theory of addiction. Brain Res. Rev. 1993;18:247–291. doi: 10.1016/0165-0173(93)90013-p. [DOI] [PubMed] [Google Scholar]
- Robinson TE, Berridge KC. The incentive sensitization theory of addiction: some current issues. Philos. T. Roy. Soc. B. 2008;363:3137–3146. doi: 10.1098/rstb.2008.0093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robinson MJF, Franklin KBJ. Central but not peripheral beta-adrenergic antagonism blocks reconsolidation for a morphine place preference. Behav. Brain Res. 2007;182:129–134. doi: 10.1016/j.bbr.2007.05.023. [DOI] [PubMed] [Google Scholar]
- Robinson TE, Jurson PA, Bennett JA, Bentgen KM. Persistent sensitization of dopamine neurotransmission in ventral striatum (nucleus accumbens) produced by prior experience with (+)-amphetamine: a microdialysis study in freely moving rats. Brain Res. 1988;462:211–222. doi: 10.1016/0006-8993(88)90549-5. [DOI] [PubMed] [Google Scholar]
- Rogers RD, Everitt BJ, Baldacchino A, Blackshaw AJ, Swainson R, Wynne K, Baker NB, Hunter J, Carthy T, Booker E, London M, Deakin JF, Sahakian BJ, Robbins TW. Dissociable deficits in the decision-making cognition of chronic amphetamine abusers, opiate abusers, patients with focal damage to prefrontal cortex, and tryptophan-depleted normal volunteers: evidence for monoaminergic mechanisms. Neuropsychopharmacology. 1999;20:322–339. doi: 10.1016/S0893-133X(98)00091-8. [DOI] [PubMed] [Google Scholar]
- Russo SJ, Dietz DM, Dumitriu D, Morrison JH, Malenka RC, Nestler EJ. The addicted synapse: mechanisms of synaptic and structural plasticity in nucleus accumbens. Trends Neurosci. 2010;33:267–276. doi: 10.1016/j.tins.2010.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sanchez H, Quinn JJ, Torregrossa MM, Taylor JR. Reconsolidation of a cocaine-associated stimulus requires amygdalar protein kinase A. J. Neurosci. 2010;30:4401–4407. doi: 10.1523/JNEUROSCI.3149-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schiller D, Monfils MH, Raio CM, Johnson DC, LeDoux JE, Phelps EA. Preventing the return of fear in humans using reconsolidation update mechanisms. Nature. 2010;463:49–54. doi: 10.1038/nature08637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoenbaum G, Roesch M. Orbitofrontal cortex, associative learning, and expectancies. Neuron. 2005;47:633–636. doi: 10.1016/j.neuron.2005.07.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schoenbaum G, Shaham Y. The role of orbitofrontal cortex in drug addiction: a review of preclinical studies. Biol. Psychiat. 2008;63:256–262. doi: 10.1016/j.biopsych.2007.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schulteis G, Ahmed SH, Morse AC, Koob GF, Everitt BJ. Conditioning and opiate withdrawal. Nature. 2000;405:1013–1014. doi: 10.1038/35016630. [DOI] [PubMed] [Google Scholar]
- See RE, Fuchs RA, Ledford CC. Drug addiction, relapse, and the amygdala. In: Shinnick-Gallagher P, McLaughlin J, editors. Amygdala in Brain Function: Basic and Clinical Approaches. New York: The New York Academy of Sciences; 2003. pp. 294–307. [DOI] [PubMed] [Google Scholar]
- Shaham Y, Miczek KA. Reinstatement – toward a model of relapse. Psychopharmacology. 2003;168:1–2. doi: 10.1007/s00213-002-1224-x. [DOI] [PubMed] [Google Scholar]
- Shalev U, Grimm JW, Shaham Y. Neurobiology of relapse to heroin and cocaine seeking: a review. Pharmacol. Rev. 2002;54:1–42. doi: 10.1124/pr.54.1.1. [DOI] [PubMed] [Google Scholar]
- Shiflett MW, Brown RA, Balleine BW. Acquisition and performance of goal-directed instrumental actions depends on ERK signaling in distinct regions of dorsal striatum in rats. J. Neurosci. 2010;30:2951–2959. doi: 10.1523/JNEUROSCI.1778-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Soyka M. Nalmefene for the treatment of alcohol dependence: a current update. Int. J. Neuropsychop. 2014;17:675–684. doi: 10.1017/S1461145713001284. [DOI] [PubMed] [Google Scholar]
- Stewart J. Pathways to relapse: factors controlling the reinitiation of drug seeking after abstinence. In: Bevins RA, Bardo MT, editors. Motivational Factors in the Etiology of Drug Abuse. Lincoln, NB: University of Nebraska Press; 2004. pp. 197–234. [PubMed] [Google Scholar]
- Stewart J, de Wit H, Eikelboom R. The role of unconditioned and conditioned drug effects in the self administration of opiates and stimulants. Psychol. Rev. 1984;91:251–268. [PubMed] [Google Scholar]
- Takahashi Y, Roesch MR, Stanlaker TA, Schoenbaum G. Cocaine shifts the balance of cue-evoked firing from ventral to dorsal striatum. Front. Integr. Neurosci. 2007;1:11. doi: 10.3389/neuro.07/011.2007. Available http://frontiersin.org/neuroscience/abstract/10.3389/neuro.07/011.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Taylor JR, Olausson P, Quinn JJ, Torregrossa MM. Targeting extinction and reconsolidation mechanisms to combat the impact of drug cues on addiction. Neuropharmacology. 2009;56(Suppl. 1):186–195. doi: 10.1016/j.neuropharm.2008.07.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thorn CA, Atallah H, Howe M, Graybiel AM. Differential dynamics of activity changes in dorsolateral and dorsomedial striatal loops during learning. Neuron. 2010;66:781–795. doi: 10.1016/j.neuron.2010.04.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tiffany ST. A cognitive model of drug urges and drug-use behavior: role of automatic and non-automatic processes. Psychol. Rev. 1990;97:146–168. doi: 10.1037/0033-295x.97.2.147. [DOI] [PubMed] [Google Scholar]
- Tiffany ST. Evaluating relationships between craving and drug use. Addiction. 2000;95:1106–1107. doi: 10.1046/j.1360-0443.2000.957110613.x. [DOI] [PubMed] [Google Scholar]
- Torregrossa MM, Taylor JR. Learning to forget: manipulating extinction and reconsolidation processes to treat addiction. Psychopharmacology. 2013;226:659–672. doi: 10.1007/s00213-012-2750-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Torregrossa MM, Quinn JJ, Taylor JR. Impulsivity, compulsivity, and habit: the role of orbitofrontal cortex revisited. Biol. Psychiat. 2008;63:253–255. doi: 10.1016/j.biopsych.2007.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Torregrossa MM, Sanchez H, Taylor JR. d-cycloserine reduces the context specificity of pavlovian extinction of cocaine cues through actions in the nucleus accumbens. J. Neurosci. 2010;30:10526–10533. doi: 10.1523/JNEUROSCI.2523-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valjent E, Corbille AG, Bertran-Gonzalez J, Herve D, Girault JA. Inhibition of ERK pathway or protein synthesis during reexposure to drugs of abuse erases previously learned place preference. Proc. Natl. Acad. Sci. USA. 2006;103:2932–2937. doi: 10.1073/pnas.0511030103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vanderschuren LJ, Everitt BJ. Drug seeking becomes compulsive after prolonged cocaine self-administration. Science. 2004;305:1017–1019. doi: 10.1126/science.1098975. [DOI] [PubMed] [Google Scholar]
- Vayalapalli S, Vaughn M, Salles-Shahid K, Byrd-Sellers J, Drexler K. High-dose citalopram for cocaine dependence in veteran population-a pilot project. Am. J. Addiction. 2011;20:485–486. doi: 10.1111/j.1521-0391.2011.00162.x. [DOI] [PubMed] [Google Scholar]
- Velázquez-Sánchez C, Ferragud A, Moore CF, Everitt BJ, Sabino V, Cottone P. High trait impulsivity predicts food addiction-like behavior in the rat. Neuropsychopharmacology. 2014 doi: 10.1038/npp.2014.98. doi: 10.1038/npp.2014.98. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- Verdejo-Garcia A, Bechara A, Recknor EC, Perez-Garcia M. Executive dysfunction in substance dependent individuals during drug use and abstinence: an examination of the behavioral, cognitive and emotional correlates of addiction. J. Int. Neuropsych. Soc. 2006;12:405–415. doi: 10.1017/s1355617706060486. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Fowler JS. Addiction, a disease of compulsion and drive: involvement of the orbitofrontal cortex. Cereb. Cortex. 2000;10:318–325. doi: 10.1093/cercor/10.3.318. [DOI] [PubMed] [Google Scholar]
- Volkow N, Li TK. The neuroscience of addiction. Nat. Neurosci. 2005;8:1429–1430. doi: 10.1038/nn1105-1429. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Fowler JS, Wang GJ, Hitzemann R, Logan J, Schlyer DJ, Dewey SL, Wolf AP. Decreased dopamine-D(2) receptor availability is associated with reduced frontal metabolism in cocaine abusers. Synapse. 1993;14:169–177. doi: 10.1002/syn.890140210. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Chang L, Wang GJ, Fowler JS, Ding YS, Sedler M, Logan J, Franceschi D, Gatley J, Hitzemann R, Gifford A, Wong C, Pappas N. Low level of brain dopamine D-2 receptors in methamphetamine abusers: association with metabolism in the orbitofrontal cortex. Am. J. Psychiat. 2001;158:2015–2021. doi: 10.1176/appi.ajp.158.12.2015. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Wang GJ, Telang F, Fowler JS, Logan J, Childress AR, Jayne M, Ma YM, Wong C. Cocaine cues and dopamine in dorsal striatum: mechanism of craving in cocaine addiction. J. Neurosci. 2006;26:6583–6588. doi: 10.1523/JNEUROSCI.1544-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vollstaedt-Klein S, Wichert S, Rabinstein J, Buehler M, Klein O, Ende G, Hermann D, Mann K. Initial, habitual and compulsive alcohol use is characterized by a shift of cue processing from ventral to dorsal striatum. Addiction. 2010;105:1741–1749. doi: 10.1111/j.1360-0443.2010.03022.x. [DOI] [PubMed] [Google Scholar]
- Volpicelli JR, Alterman AI, Hayashida M, Obrien CP. Naltrexone in the treatment of alcohol dependence. Arch. Gen. Psychiat. 1992;49:876–880. doi: 10.1001/archpsyc.1992.01820110040006. [DOI] [PubMed] [Google Scholar]
- Waters RP, Moorman DE, Young AB, Feltenstein MW, See RE. Assessment of a proposed “three-criteria” cocaine addiction model for use in reinstatement studies with rats. Psychopharmacology. 2014 doi: 10.1007/s00213-014-3497-2. doi: 10.1007/s00213-014-3497-2. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- Weeks JR. Experimental morphine addiction – method for automatic intravenous injections in unrestrained rats. Science. 1962;138:143–144. doi: 10.1126/science.138.3537.143. [DOI] [PubMed] [Google Scholar]
- Whitelaw RB, Markou A, Robbins TW, Everitt BJ. Excitotoxic lesions of the basolateral amygdala impair the acquisition of cocaine-seeking behaviour under a second-order schedule of reinforcement. Psychopharmacology. 1996;127:213–224. [PubMed] [Google Scholar]
- Wikler A. Conditioning factors in opiate addiction and relapse. In: Willner DI, Kassenbaum GG, editors. Narcotics. New York, NY: McGraw-Hill; 1965. pp. 7–21. [Google Scholar]
- Wikler A. Dynamics of drug dependence. Arch. Gen. Psychiat. 1973;28:611–616. doi: 10.1001/archpsyc.1973.01750350005001. [DOI] [PubMed] [Google Scholar]
- Willuhn I, Burgeno LM, Everitt BJ, Phillips PEM. Hierarchical recruitment of phasic dopamine signaling in the striatum during the progression of cocaine use. Proc. Natl. Acad. Sci. USA. 2012;109:20703–20708. doi: 10.1073/pnas.1213460109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Willuhn I, Burgeno LM, Groblewski PA, Phillips PE. Excessive cocaine use results from decreased phasic dopamine signaling in the striatum. Nat. Neurosci. 2014;17:704–709. doi: 10.1038/nn.3694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Winstanley CA, Theobald DEH, Cardinal RN, Robbins TW. Contrasting roles of basolateral amygdala and orbitofrontal cortex in impulsive choice. J. Neurosci. 2004;24:4718–4722. doi: 10.1523/JNEUROSCI.5606-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wise RA. Dopamine, learning and motivation. Nat. Rev. Neurosci. 2004;5:483–494. doi: 10.1038/nrn1406. [DOI] [PubMed] [Google Scholar]
- Wise RA. Dopamine and reward: the anhedonia hypothesis 30 years on. Neurotox. Res. 2008;14:169–183. doi: 10.1007/BF03033808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- de Wit H, Richards JB. Dual determinants of drug use in humans: reward and impulsivity. In: Bevins RA, Bardo MT, editors. Motivational Factors in the Etiology of Drug Abuse. Lincoln, NB: University of Nebraska Press; 2004. pp. 19–56. [PubMed] [Google Scholar]
- Wright CI, Beijer AVJ, Groenewegen HJ. Basal amygdaloid complex afferents to the rat nucleus accumbens are compartmentally organized. J. Neurosci. 1996;16:1877–1893. doi: 10.1523/JNEUROSCI.16-05-01877.1996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xie C, Shao Y, Ma L, Zhai T, Ye E, Fu L, Bi G, Chen G, Cohen A, Li W, Chen G, Yang Z, Li SJ. Imbalanced functional link between valuation networks in abstinent heroin-dependent subjects. Mol. Psychiatr. 2014;19:10–12. doi: 10.1038/mp.2012.169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xue Y-X, Luo Y-X, Wu P, Shi H-S, Xue L-F, Chen C, Zhu W-L, Ding Z-B, Bao Y-P, Shi J, Epstein DH, Shaham Y, Lu L. A memory retrieval-extinction procedure to prevent drug craving and relapse. Science. 2012;336:241–245. doi: 10.1126/science.1215070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yahyavi-Firouz-Abadi N, See RE. Anti-relapse medications: preclinical models for drug addiction treatment. Pharmacol. Therapeut. 2009;124:235–247. doi: 10.1016/j.pharmthera.2009.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yin HH, Knowlton BJ, Balleine BW. Lesions of dorsolateral striatum preserve outcome expectancy but disrupt habit formation in instrumental learning. Eur. J. Neurosci. 2004;19:181–189. doi: 10.1111/j.1460-9568.2004.03095.x. [DOI] [PubMed] [Google Scholar]
- Yin HH, Knowlton BJ, Balleine BW. Blockade of NMDA receptors in the dorsomedial striatum prevents action-outcome learning in instrumental conditioning. Eur. J. Neurosci. 2005a;22:505–512. doi: 10.1111/j.1460-9568.2005.04219.x. [DOI] [PubMed] [Google Scholar]
- Yin HH, Ostlund SB, Knowlton BJ, Balleine BW. The role of the dorsomedial striatum in instrumental conditioning. Eur. J. Neurosci. 2005b;22:513–523. doi: 10.1111/j.1460-9568.2005.04218.x. [DOI] [PubMed] [Google Scholar]
- Yin HH, Knowlton BJ, Balleine BW. Inactivation of dorsolateral striatum enhances sensitivity to changes in the action-outcome contingency in instrumental conditioning. Behav. Brain Res. 2006;166:189–196. doi: 10.1016/j.bbr.2005.07.012. [DOI] [PubMed] [Google Scholar]
- Young KA, Franklin TR, Roberts DCS, Jagannathan K, Suh JJ, Wetherill RR, Wang Z, Kampman KM, O'Brien CP, Childress AR. Nipping cue reactivity in the bud: baclofen prevents limbic activation elicited by subliminal drug cues. J. Neurosci. 2014;34:5038–5043. doi: 10.1523/JNEUROSCI.4977-13.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zapata A, Minney VL, Shippenberg TS. Shift from goal-oriented to habitual cocaine seeking after prolonged experience in rats. J. Neurosci. 2010;30:15457–15463. doi: 10.1523/JNEUROSCI.4072-10.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhou WH, Kalivas PW. N-acetylcysteine reduces extinction responding and induces enduring reductions in cue-and heroin-induced drug-seeking. Biol. Psychiat. 2008;63:338–340. doi: 10.1016/j.biopsych.2007.06.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zilberman ML, Tavares H, Hodgins DC, El-Guebaly N. The impact of gender, depression, and personality on craving. J. Addict. Dis. 2007;26:79–84. doi: 10.1300/J069v26n01_10. [DOI] [PubMed] [Google Scholar]