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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Ann N Y Acad Sci. 2016 Aug 10;1394(1):74–91. doi: 10.1111/nyas.13140

Early adverse experience and substance addiction: dopamine, oxytocin, and glucocorticoid pathways

Sohye Kim 1,2,3,4, Stephanie Kwok 2, Linda C Mayes 5, Marc N Potenza 5,6,7, Helena J V Rutherford 5, Lane Strathearn 2,3,4,8
PMCID: PMC5303188  NIHMSID: NIHMS790435  PMID: 27508337

Abstract

Substance addiction may follow a chronic, relapsing course and critically undermine the physical and psychological well-being of the affected individual and the social units of which the individual is a member. Despite the public health burden associated with substance addiction, treatment options remain suboptimal, with relapses often seen. The present review synthesizes growing insights from animal and human research to shed light upon developmental and neurobiological pathways that may increase susceptibility to addiction. We examine the dopamine system, the oxytocin system, and the glucocorticoid system, as they are particularly relevant to substance addiction. Our aim is to delineate how early adverse experience may induce long-lasting alterations in each of these systems at molecular, neuroendocrine, and behavioral levels and ultimately lead to heightened vulnerability to substance addiction. We further discuss how substance addiction in adulthood may increase the risk of suboptimal caregiving for the next generation, perpetuating the intergenerational cycle of early adverse experiences and addiction.

Keywords: early adverse experience, addiction, dopamine, oxytocin, glucocorticoid


Substance addiction continues to be a substantial and growing public health problem in the United States. According to the most recent national survey, 9.4% of the population used illicit drugs within the prior month.1 The annual public health burden associated with tobacco, alcohol, and illicit drug use is estimated to be half a trillion dollars, including indirect costs to society.24 Treatment options are often limited and suboptimal, and relapses are frequent. Substance addiction in mothers is particularly problematic, given the long-term negative impacts that addiction-related impairments in parenting and exposure to abused substances may have on children. Almost 90% of substance-using women are of reproductive age,5 and an estimated 212,000 pregnancies annually involve illicit drugs, 370,000 involve alcohol, and 606,000 involve tobacco.1 While many women abstain from substance use during pregnancy, many rapidly resume use after childbirth,6 with resultant adverse effects on parenting capacity and child development. Substance use increases the odds of child neglect fourfold7 and is a critical factor involved in a large majority of child maltreatment cases and infant out-of-home placements.79

The pathways leading to addiction are complex and multidimensional, and include differences in molecular and genetic expression, altered brain sensitivities to reward- and stress-related cues, and behavioral patterns that include risk taking, social isolation, and/or stress dysregulation (Fig. 1). Epidemiological studies have linked adverse childhood experience to addiction in adulthood,10,11 with increased risk and severity related to greater frequency and duration of adversities experienced. Animal models have helped to elucidate developmental pathways by which early-life stress may affect neurobiological development and translate into behavioral patterns that increase susceptibility to addiction. In particular, three distinct but interrelated neurobiological systems are modified by early experience and patterns of maternal caregiving: (1) the dopamine (DA) system, (2) the oxytocin (OT) system, and (3) the glucocorticoid (GC) system. These three systems undergo substantial neurogenesis, apoptosis, and reorganization during early postnatal life, creating a window of potential adaptation and vulnerability to environmental influences.1216 Through epigenetic mechanisms, early-life experience appears to modify neuronal morphology, synaptic plasticity, and gene and receptor expression in each of these three systems, leading to changes in neuroendocrine functioning, neural circuit activation, and adult behavior, including substance-seeking behavior and addiction (Fig. 1).

Figure 1.

Figure 1

Developmental and neurobiological pathways linking adverse childhood experience to susceptibility to addiction, via modifications in dopamine, oxytocin, and glucocorticoid systems at molecular, neuroendocrine, and behavioral levels. The model uses categories from the National Institute of Mental Health’s Research Domain Criteria (RDoC). DA, dopamine; OT, oxytocin; GC, glucocorticoid; rec, receptor; CRF, corticotropin-releasing factor; PFC, prefrontal cortex

Before proceeding, two clarifications are in order to frame this review. First, we use the term “early adverse experience” to refer to those experiences within the developing organism’s early environment, particularly maternal environment, that may compromise the offspring’s developmental trajectory. By promoting homeostasis in the presence of internal and external stressors, the maternal environment is a major source of sensory stimulation critical for the organization of the brain network and the regulation of early physiology and behavior.17,18 We therefore deem the early environment to be adverse when the mother’s provision of sensory input is insufficient to promote optimal development (as in the case of maternal deprivation or neglect) or when her behavior induces excessive stress in the offspring rather than restoring homeostasis (as in the case of maternal abuse or rejection). While we include both under the same term of “early adversity,” our intention is neither to imply that the nature of the two are identical nor to overlook the differences in their sequelae. Rather, we understand that both early deprivation and early stress, and the complex interplay between the two, constitute unique mechanisms by which early-life experience may induce long-term phenotypic alterations in the offspring.19 With this in mind, we encompass in this review the literature ranging from early deprivation (e.g., maternal separation in rodents, maternal neglect in humans) to early abuse (e.g., maternal rejection in primates, maternal abuse of infants), as well as more subtle natural variations in maternal care (e.g., variations in licking and grooming in rodents, attachment in humans).

Second, we do not intend the present review to be exhaustive, either for the types of developmental experiences that may alter long-term trajectories or for the neurobiological mechanisms that may mediate such alterations. Although this review traces developmental trajectories starting from postnatal experiences, early deprivation or stress does not solely determine long-term developmental outcomes. Instead, the nature of early experience is such that its effects cascade into subsequent developmental stages and indirectly shape the kinds of experiences to which the developing organism is later exposed.20 For example, it has long been known that the effects of early deprivation persist into subsequent social play with peers, undermining yet another critical experience21 and thus yielding cascading developmental effects. Adult outcomes examined in this review, then, should best be understood as reflecting complex interactions between experiences accrued throughout the life span, including formative early experiences. Similarly, while we present the DA, OT, and GC systems largely in parallel (Fig. 1), these systems do not act in isolation, but in concert with one another. Furthermore, we note that developmental effects described in this review interact with other neurobiological systems not addressed here in detail, including the norepinephrine (NE), serotonin (5-HT), and γ-aminobutyric acid (GABA) systems. Our aim in selectively reviewing the DA, OT, and GC systems in this paper is to home in on the three systems that have established links to addiction and early experience in order to propose a developmental and intergenerational framework for addiction, which has thus far lacked such perspective in its conceptualization and treatment.

In what follows, we draw from both animal and human research to shed light upon how early adverse experience may modify the development of the DA, OT, and GC systems at the molecular, neuroendocrine, and behavioral levels. We examine long-term alterations observed in each of these three systems and delineate the processes by which these modifications increase susceptibility to addiction. We discuss further neuroadaptation related to extended substance use and consider how substance addiction may contribute to suboptimal early caregiving, thus increasing the likelihood of substance use in the next generation.

Dopamine system

DA is a catecholaminergic neurotransmitter that plays a pivotal role in the regulation of reward, motivation, and movement. The majority of DA neurons are located in the ventral part of the midbrain,22 where the mesolimbic, mesocortical, and nigrostriatal DA systems originate (Fig. 2). The mesocorticolimbic DA system, known for its roles in reward and motivation, arises from the ventral tegmental area (VTA), with the mesolimbic pathway projecting to the ventral striatum (VS) and amygdala (AMY), and the mesocortical pathway projecting to the prefrontal cortex (PFC). The nigrostriatal DA system, responsible for regulation of voluntary movement and habit formation, originates from the substantia nigra (SN) and innervates the dorsolateral striatum. Given the important regulatory functions of DA, it is no surprise that DA-related dysfunctions are involved in the pathophysiology of major neuropsychiatric disorders, including substance addiction. The link between addiction and aberrant DA functions has been well established.23,24 Growing attention is now increasingly directed to the role of early-life experience in shaping the development of the DA system. Below, we examine the links between early adverse experience, DA function, and susceptibility to addiction.

Figure 2.

Figure 2

Dopamine, oxytocin, and glucocorticoid systems of the human brain proposed to mediate the links between early adverse experience and substance addiction. Brain schematic by P. J. Lynch (2006; CC BY 2.5). VTA, ventral tegmental area; SN, substantia nigra; PVN, paraventricular nucleus; SON, supraoptic nucleus; HYP, hypothalamus; VS, ventral striatum; DS, dorsal striatum; BNST, bed nucleus of stria terminalis; PFC, prefrontal cortex; AMY, amygdala (not shown); HIP, hippocampus (not shown); CRF, corticotropin-releasing factor; ACTH, adrenocorticotropic hormone

Molecular level

Animal models have shown that early adverse experience induces alterations in DA neuronal activity and synaptic function. Rodent studies have often employed a prolonged single episode (24 h) of maternal deprivation or periodic brief episodes (3–6 h) of maternal separation within the first 2 postnatal weeks to examine effects of early-life stress. Both paradigms are sufficient to alter the number of DA neuronal and glial cells, affect the rate of cell proliferation and apoptosis, and promote aberrant DA signaling in the VTA and SN in rodents.2527 Such dysregulation at least partly involves epigenetic modifications altering neuronal and synaptic plasticity,25 which likely mediate long-term changes in the expression and function of DA neurons, receptors, and transporters observed in the key DA-innervated brain regions, including the striatum (STR) and PFC.28,29 The direction of these changes observed to date has been mixed, with both hypo- and hyperactivity of the DA system reported. While the complex nature of these divergent findings merits further attention, the existing evidence suggests that early adversity may modulate the maturation of different DA circuits in a disparate manner (e.g., may induce DA release in the VS while blunting release in the PFC) and that seemingly equivocal findings may at least partly reflect differential levels of maturation and functioning of DA circuits involved at the time of adversity.30

Another line of rodent work has involved the study of naturally occurring variations in maternal behavior (i.e., licking/grooming in ratsa). These studies have demonstrated that the quality of maternal care received early in life programs the development of the mesolimbic DA system in the offspring. Rat pups exposed to high levels of postnatal maternal care display elevated density of DA cell bodies within the VTA and increased DA receptor mRNA levels within the VS,31 much of which are understood to persist into adulthood.31,32

Neuroendocrine level

Altered basal DA levels have been detected in the STR and PFC of adolescent rodents exposed to early maternal separation.33 Similar patterns have also been found in these animals in adulthood, with aberrant DA levels noted in the DA-innervated brain regions, including the VS34 and AMY.35 Notably, early adverse experience may also shift levels of stimulus-evoked DA release. Rodents with early adversity have been observed to display dampened DA release in the VS in response to pups,34 enhanced DA release in the VS and hypothalamus (HYP) in response to stress,35 and enhanced DA release in the VS in response to the administration of amphetamine.36

Although the study of the corresponding mechanisms in humans is comparably lagging, several positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) studies have documented associations between early adverse experience and dysfunctions of the DA reward circuitry. In line with reports from rodent studies, suboptimal early caregiving has been linked to increased DA release in the VS in response to stress37 and amphetamine administration.38 Dampened reward-related VS and medial PFC activity have also been reported in mothers with suboptimal attachment in response to their own infant’s smiling faces.39 In a prospective fMRI study, early adversity measured at 3 months of age was associated with altered reward-related brain activity measured in adulthood in a dose-dependent manner.40 As the number of exposures to adversity increased, reward-related brain activity increased during anticipation of monetary reward (in the VS and putamen) and decreased during receipt of reward (in the SN). Note that other groups examining the influences of adversity on neural responding have also documented decreased reward-related brain activity during receipt of reward,39,41,42 suggesting that the direction of altered DA functions associated with early adversity may be mixed, in line with findings from rodent models.

Behavioral level

Behaviorally, rodents exposed to early maternal deprivation demonstrate heightened reactivity to novelty in adulthood, as reflected in their enhanced spontaneous locomotor activity in novel settings.28,29 Novelty-seeking behavior predicts rodent sensitivity to rewarding properties of addictive substances and subsequent vulnerability to addictive behavior.43,44 Indeed, rodents with early deprivation display heightened sensitivity to the effects of addictive substances, such as amphetamine28,45 or cocaine.29 They also learn to self-administer these substances faster and maintain longer bouts of self-administration.46

In humans, novelty seeking, or sensation seeking, is defined as a trait characterized by a heightened tendency toward novel and intense sensations and experiences, often leading to impulsive risk taking and/or active pursuit of rewards.47 The link between early adversity and novelty seeking has been established in both community48 and high-risk samples.49 Novelty seeking is positively correlated with a rise in DA release in the VS in response to amphetamine, as well as the individual’s self-reported wanting of the drug.50 Among different classes of substances, individuals with high novelty seeking display a preference for stimulant drugs that activate the DA pathway.51 In a study of a large sample presenting with a complex set of risk factors, novelty seeking emerged as the strongest factor contributing to the development of substance-related disorders.49 The link between childhood adversity and the presence of substance-related disorders was found to be at least partially mediated by increased novelty seeking in individuals with adverse histories.49

Oxytocin system

OT is a neuropeptide that functions as a key neuroregulator of social behavior across mammalian species.52 OT is synthesized in the magnocellular neurons of the paraventricular (PVN) and supraoptic nuclei (SON) of the HYP and is transported to the posterior pituitary gland, where it is released into the periphery (Fig. 2).53 Within the central nervous system, OT neurons project between brain regions known to be critical for the regulation of social behavior, including the medial preoptic area (MPOA) of the HYP, bed nucleus of the stria terminalis (BNST), VTA, VS, AMY, and lateral septum (LS).54,55 The long-known functions of OT, including uterine contraction during labor and milk ejection during lactation, arise from the peptide’s peripheral actions. Recently, considerable attention has surrounded OT’s central actions, including its role in attachment formation and stress regulation. The past few decades have seen a surge of interest in the link between disorders of psychosocial functions and the dysregulated OT system.5658 This line of research is now being extended to the area of addiction.59 The OT system is particularly germane to our discussion, given its unique susceptibility to undergo alteration via interaction with early environments. Growing evidence points to early experience as one of the most robust predictors of long-term OT functions. Below, we delineate the proposed links between early-life experience, OT functions, and vulnerability to addiction.

Molecular level

Rodent studies examining natural variations in maternal behavior have provided a fine-grained examination of how early environment shapes the long-term development of the OT system. Low levels of maternal care (i.e., licking/grooming in rats) experienced early in life are directly associated with the reduced density of OT receptors observed in the MPOA, PVN, BNST, AMY, and LS.55,6062 Importantly, cross-fostering studies suggest that these effects are not associated with genetic variation, but are rather a consequence of disrupted early attachment, operating through changes in epigenetic regulation occurring via altered DNA methylation.63

Experimentally induced early deprivation also produces persistent alterations in OT and OT receptor systems. Deprivation experienced during the first 2 weeks of rodent life suppresses cell proliferation and reduces the number and size of cell bodies observed within the MPOA.64 Comparable results have been reported in the PVN and SON of the HYP, where a stable reduction in the number of cells has been documented in response to early deprivation, a finding that was at least partly attributable to a decrease in the number of OT-producing neurons.6567 Early adversity also interferes with the normative age-dependent developmental adaptations within the OT receptor system. Maternal separation accelerates an age-related increase in OT receptor binding in the HYP, as well as age-related decreases in the STR and LS, contributing to abnormally high or low binding densities in adulthood, respectively.68 These changes are often detected shortly following the experimental manipulation and persist into adulthood.64,65

Neuroendocrine level

Altered OT levels have been documented in rodents exposed to low levels of naturally occurring maternal care69 or experimentally induced early separation.70 These effects have been observed in specific OT-innervated brain regions, such as the HYP or AMY,70,71 as well as in the plasma.69 Observed changes are generally in the direction of blunted OT levels in those exposed to early adversity, although it has been proposed that prolonged exposure may lead to a rise in OT levels as a way of protecting the system from the deleterious effects of stress.72,73 While studies involving primates are more sparse, rhesus monkeys reared in nurseries show reduced levels of cerebrospinal fluid (CSF) OT compared to those reared by their mothers,74 paralleling results from rodent models.

In humans, a history of childhood trauma or stress is consistently negatively correlated with levels of OT measured in CSF, plasma, or urine.7578 These reports often reveal a dose-dependent inverse relationship between the number of trauma exposures and OT concentration.52,54 Among different forms of trauma, emotional abuse and neglect appear to produce the strongest effects.76,77 The timing of adversity also seems critical, given that adverse experiences in childhood, but not those in adolescence or adulthood, emerge as robust predictors of long-term disruptions in OT functions.78 The effects of more subtle suboptimal attachment have also been examined. Infants or children who receive less synchronous, sensitive, or responsive caregiving show blunted salivary OT levels, both at baseline and in response to social cues.79,80 Adults who retrospectively report such early histories similarly display blunting of OT in plasma or serum, both at baseline and in response to social cues.39,81,82 A few fMRI studies have linked these blunted peripheral OT functions to the dysregulated activity of OT-innervated brain regions, including the HYP, VS, and AMY.39,83,84 During processing of socially salient cues, suboptimal early history emerges as an important modulator of the activity of these brain regions,39,85 dampening the reward salience of social cues (possibly via actions on the VS and VTA) while enhancing stress arousal (possibly via actions on the AMY).

Behavioral level

Behaviorally, rodents exposed to early-life deprivation show a wide array of social impairments. They display diminished social motivation,66 reduced affiliative behavior,71 impaired social learning,86 and increased aggressive behavior.66,67 Primates exposed to adverse rearing similarly show preference for solitary activity, while also demonstrating reduced capacity to use social companionship in times of stress.74 Natural variations in early rearing conditions may also directly shape the animal’s long-term social functions. Rodents who receive low levels of care early in life tend to develop into adults who display similarly low levels of care to their own pups.87,88 This intergenerational transmission appears to be partially mediated by the OT-related molecular and neuroendocrine alterations outlined above.55,61,74

Findings from human studies parallel those from animal models. Profound early deprivation, as was seen in Romanian institutional rearing, has been observed to lead to severe long-term attachment disturbances and social deficits.89,90 The developmental literature is replete with decades of prospective longitudinal and cross-sectional studies linking early trauma and/or disrupted attachment to long-term social and attachment dysfunction.9194 There has been an increasing number of studies linking these social deficits to compromised OT functions.57,95,96

Recent advances in neuroscience have revealed that there may be a significant overlap in the neurobiological mechanisms that underpin social attachment and addiction.97,98 In addiction, neural systems integral to the formation of social attachment may be co-opted for the maintenance of addictive behavior.98 Consistently, social impairment often presents as a significant risk factor for the development of addiction. Social isolation in rodents has been linked to heightened vulnerability to the effects of addictive substances99 and to subsequent addictive behavior.100 In humans, low social support and high social isolation often precipitate the emergence and recurrence of substance use and are among the strongest predictors of substance addiction, above and beyond sociodemographic variables.101

This body of research is further complemented by reports demonstrating that centrally acting OT can inhibit the development of preferences for addictive substances,102,103 facilitate the extinction of previously formed substance preferences,103 reduce the self-administration of substances,104 block the development of tolerance or withdrawal symptoms,105 and prevent the reinstatement of substance-seeking behavior under conditions of stress.103,106 These effects have been documented following intracerebroventricular or region-specific injections of OT in the VS, HYP, or medial PFC, and have been observed with regard to a wide range of addictive substances, including methamphetamine, heroin, cocaine, morphine, and opiates.102106 While corresponding studies in humans are scarce, initial reports demonstrated the potential utility of intranasally administered OT in attenuating symptoms of alcohol withdrawal107 and cannabis craving.108 However, the early optimism has been gradually tempered by reports suggesting that the therapeutic effects of OT are more nuanced than initially assumed.57,109 Recently, OT administration was found to exacerbate symptoms of addiction in inpatients with cocaine dependence.110 More systematic studies are needed to tease apart the promise of OT administration in the treatment of substance addiction.

Glucocorticoid system

GCs (cortisol in primates and corticosterone (CORT) in rodents) are a family of steroid hormones that coordinate an organism’s physiological responses to stress. A cascading set of neurotransmitters and hormones involved in this coordination is collectively known as the hypothalamus–pituitary–adrenal (HPA) axis (Fig. 2).111 Physical or psychological stress activates the parvocellular neurons of the hypothalamic PVN to release corticotropin-releasing factor (CRF). CRF binds to receptors in the pituitary to stimulate adrenocorticotropic hormone (ACTH) production. ACTH is then transported to adrenal glands, culminating in the secretion of GCs. Once released, GCs act at glucocorticoid receptors (GRs) throughout the corticolimbic structures, including the HYP, pituitary, and hippocampus, to suppress further synthesis and release of CRF and ACTH, thereby attenuating the activity of the HPA system and restoring homeostasis (i.e., GC negative feedback).112 The hippocampus contains high concentrations of GRs113 and is a primary site in the negative regulation of the HPA axis.114

On the other hand, the AMY is the origin of major CRF pathways in the brain, is a primary extrahypothalamic source of CRF, and plays a critical role in mobilizing the activity of the HPA axis.115 CRF neurons originating from the AMY project to the locus coeruleus (LC) and synapse onto catecholaminergic neurons, stimulating the release of NE.115 Pronounced reciprocal interactions exist between the CRF and NE systems, whereby CRF enhances the release of NE and NE, in turn, stimulates the release of CRF. This CRF–NE interaction has been observed in the HYP, AMY, BNST, and LC and is understood to progressively augment stress responsivity in the face of repeated challenges to homeostasis.116 The AMY also serves as a site of interaction between the HPA and the 5-HT and GABA systems. The AMY provides a major source of CRF innervation to the dorsal raphe nucleus (dRN),115 where the 5-HT system originates. While our understanding of the nature and direction of 5-HT modulation remains incomplete,117,118 CRF actions in the dRN modulate stress-induced 5-HT release in the AMY, which is pivotal to the regulation of the HPA axis activity.119 GABA cells are found adjacent to CRF neurons in the AMY and inhibit the activity of CRF in the AMY and LC.115 Given the effects of early-life adversity and HPA dysfunction on the etiology of stress-related disorders, the developmental programming of the GC stress system has received considerable study. Below, we examine links between early-life experience, GC functions, and vulnerability to addiction.

Molecular level

Variations in naturally occurring maternal care have been identified as a nongenomic mechanism programming the development of the rodent’s GC functions. Low levels of early maternal care increase CRF mRNA expression in the hypothalamic PVN and decrease GR mRNA expression in the hippocampus.120 These altered levels of gene expression are correlated with levels of maternal care observed during the first week of postnatal life120 and may be at least partially mediated by the altered epigenome at a GR gene promoter in the hippocampus.121 These effects emerge over the first week of the rodent’s life, are reversed with cross-fostering, and persist into adulthood.121 Low maternal care has also been found to lead to a reduced density of GABA and benzodiazepine receptors in the AMY and LC,122,123 as well as increased CRF receptor and decreased adrenoreceptor densities in the LC.122 Stable structural alterations have also been observed in the hippocampus, with decreases in neuronal survival,124,125 dendritic complexity,126 and synaptic density and plasticity126,127 documented in rodents with a history of low maternal care.

Experimentally induced early deprivation similarly produces long-term abnormalities in the rodent’s GC functions. Early maternal separation reduces the density of CRF receptors in the pituitary while increasing the densities in the HYP, AMY, dRN, and hippocampus.128130 The density of GRs in the hippocampus,131 as well as those of GABA and benzodiazepine receptors in the AMY and LC,132 has been found to decrease as a result of early adversity. Decreased 5-HT receptor mRNA expression has also been observed in the dRN of these rodents, while increased expression has been seen in the AMY.133,134 Long-lasting morphological and functional changes are also found in the hippocampus following repeated maternal separations.135 These rodents display a reduced density of hippocampal axons, decreased cell proliferation, and dysregulated neurogenesis in adulthood.135,136

Neuroendocrine level

Natural variations in maternal care are directly associated with individual variations seen in the reactivity of the HPA axis in the adult offspring. As adults, rodents who received low maternal care display significantly elevated stress-induced plasma ACTH and CORT levels,120 the magnitude of which are inversely proportional to the frequency of maternal behavior (e.g., licking/grooming) observed early in life. These elevations may be mediated at least in part by impaired GC negative feedback on the HPA axis.120,137 Experimentally induced maternal separation is documented to be sufficiently adverse to evoke a significant rise in the HPA-axis response,135 resulting in exaggerated stress-induced ACTH and CORT responses during the first 2 postnatal weeks,128 when rat pups are normally hyporesponsive to stressors. Later in life, these animals are observed to display increased basal hypothalamic CRF synthesis, enhanced stress-induced CRF release, elevated poststress plasma ACTH and CORT levels, and reduced sensitivity to GC negative feedback, demonstrating that these effects persist throughout their life span.129,131,137

Reports from nonhuman primates are generally in line with these findings and demonstrate persistently altered HPA functions in animals with a history of early adversity. Macaques or common marmosets exposed to early adversity display elevated CSF concentrations of CRF and NE,138,139 decreased CSF concentrations of 5-HT metabolites,139,140 and flattened diurnal rhythms of cortisol secretion (i.e., lower than normal morning cortisol levels).141. Cortisol levels are also altered in these animals, although the direction of the effect appears to be mixed.138,142 It has been proposed that early-life stress may initially induce acute elevations in cortisol, but persistent elevations in the presence of repeated, prolonged stressors may over time lead to an adaptive blunting of ACTH response to CRF,143 leading to lower than normal cortisol levels later in life.142,144

In humans, less synchronous, sensitive, and responsive early caregiving has been consistently associated with exaggerated or prolonged increase in cortisol in response to stress.145,146 However, in cases of more severe early deprivation or maltreatment, patterns of HPA responsiveness thus far examined have been inconsistent.111,144 Both elevated147 and dampened148 cortisol levels have been reported in these individuals, along with both increased149 and blunted150 stress-induced activation of brain regions, such as the AMY, involved in the regulation of HPA functions. While the mixed findings are understood to be at least in part due to the complex nature of maltreatment and the comorbidity of a range of psychiatric disorders present at the time of the assessment, there is growing consensus that affected individuals may undergo a transition from early hypercortisolism to later hypocortisolism upon continued exposure to adversity.144,151 This change may reflect the adaptive downregulation of the HPA system following chronic stress exposure, subsequently leading to flattened diurnal rhythms of cortisol secretion (lower than normal daytime cortisol levels),152,153 consistent with reports from nonhuman primate models.

Behavioral level

These molecular and neuroendocrine alterations of the GC system diminish the animal’s capacity to effectively respond to stress. Rodents who receive compromised early maternal care, whether naturally occurring or experimentally induced, display substantially increased fearfulness and anxiety in adulthood, along with decreased exploration and increased inhibition.122,135,154 Nonhuman primates exposed to compromised rearing conditions display similar behavioral impairments, reflecting disturbances in stress reactivity.141,155,156 These behavioral outcomes have been reported by many to resemble signs and symptoms of anxiety, depressive, and addictive disorders.142,157,158

In humans, early adverse experience is a potent risk factor for the development of depressive, anxiety, or trauma-related disorders later in life.159163 Altered GC functions and HPA responsiveness may play critical roles in the etiology of these disorders and have received attention as potentially important mediators linking early adversity and later psychopathology,164,165 along with accompanying disruptions in NE, 5-HT, and GABA functions.159,166 A wealth of data implicates stress dysregulation and HPA dysfunction in substance addiction.98,166 Stress exposure can precipitate the onset of substance use, dampen the motivation to discontinue use, and enhance the risk for relapse, particularly in those who exhibit enhanced HPA reactivity.166 This process may reflect the effects of a chronically activated HPA axis on enhanced striatal extracellular DA release, which may sensitize the reward system to the reinforcing properties of addictive substances.37,167,168 Disorders that centrally implicate HPA dysfunctions, such as depressive, anxiety, and trauma-related disorders, can serve as precursors to the development of substance addiction.164,165,169 These disorders also modulate the progression of substance addiction such that the illness course is typically more severe and persistent.170

Substance addiction: compounding dysfunctions

While long-term alterations in the DA, OT, and GC systems examined above increase one’s susceptibility to addiction, the resulting substance addiction may lead to continued perturbations in each of these three systems. Repeated exposure to addictive substances may induce an aberrant surge of DA in the VTA and VS, which, over time, may lead to a series of neuroadaptations in the mesolimbic DA system at molecular, cellular, and neural levels.171,172 Disrupted DA signaling and synaptic neurotransmission have been detected in the VTA and VS.173,174 With extended substance use, the DA reward threshold may be recalibrated, with a shift within the reward system occurring in the direction of heightening the incentive salience of addictive substances while dampening that of natural reinforcers.23

While substance use initially evokes acute activation of the HPA axis, high circulating levels of GCs in the presence of continued substance use can blunt HPA activity while sensitizing the CRF and NE systems in the AMY.175 With extended substance use, the normal circadian rhythm of GC secretion becomes blunted, such that a complete reversal of normal rhythm is observed.176 As substance use persists and tolerance is developed, the HPA-axis activity progressively decreases, along with pituitary GR mRNA levels.177 In contrast, a state of withdrawal is marked by increased hypothalamic CRF mRNA expression,178 elevated extracellular levels of extrahypothalamic CRF and NE in the AMY and BNST,179182 and intensified HPA reactivity to stress,178 mechanisms that are likely to contribute to continued substance seeking, sustained negative affect, and eventual relapse.

Long-lasting neuroadaptations have also been documented within the OT system. Increased degeneration is seen in the magnocellular OT neurons in the hypothalamic PVN with chronic substance exposure.183,184 OT synthesis decreases in the MPOA and HYP over time,185,186 and there is a downregulation of OT receptor expression and diminished OT innervation in the VS.187 Sustained behavioral impairments reflect these ongoing disruptions at molecular and neuroendocrine levels. As addiction progresses, impulsivity and risk taking intensify, while social dysfunctions are exacerbated. Dysphoria, nervousness, and negative affect also become increasingly prevalent, dissipating upon exposure to addictive substances only to become stronger and harder to dispel with continued exposures.23

The DA, OT, and GC systems that have thus far been examined in parallel also interact with one another. DA and OT receptors colocalize in the PVN, SON, VS, AMY, and medial PFC,188 allowing a close coordination between the two systems.189 While the nature and direction of the interactions between the two systems appear to vary depending on the context,190 OT is understood to inhibit DA stimulation in the context of substance exposure,191 a mechanism that likely becomes attenuated with extended substance use. GCs also regulate mesolimbic DA transmission. Stress-induced GCs alter synaptic plasticity, receptor function, and dendritic organization in the VTA and VS in the direction of augmenting mesolimbic DA release.192194 While the effects of GCs grow stronger in the presence of heightened DA activity, the presence of GCs also heightens the reactivity of mesolimbic DA neurons to the reinforcing effects of addictive substances and increases the propensity that addiction will persist,195 an effect at least partly mediated by CRF-induced cAMP response element–binding protein (CREB) phosphorylation.196 As addiction progresses and the DA, OT, and GC systems respond to persistent challenges to homeostasis (i.e., substance exposure), the intricately regulated balance between the three systems continues to deviate from its normal homeostatic range.23,98,175 The concept of allostasis has been used to explain the spiraling dysregulation and is characterized by a feedforward mechanism aimed at achieving apparent stability outside of the normal homeostatic range through continued adaptation to chronic demands.175,197

Substance addiction and beyond: intergenerational effects

Vast repercussions accompany the perturbations in the neurobiology and behavior summarized above. While documented consequences are wide ranging, impaired maternal care is particularly pertinent to the topic at hand,198 given the pivotal role that maternal care plays in shaping the early experience of the next generation. The transition to motherhood is supported by multiple neuroadaptations at molecular, cellular, and neuroendocrine levels, notably in the same three systems examined above––namely, the DA, OT, and GC systems.98,199,200 As reviewed in the present paper, substance-using mothers may display increased vulnerability to dysregulated functions in each of these systems as compared to non-using mothers, potentially due to their own early histories or substance use, or both. Indeed, the DA, OT, and GC systems that are central to maternal caregiving are understood to be co-opted in maternal substance addiction,98 which sensitizes each of these systems to the gratification and relief associated with substance use at the expense of dampening the salience of cues from their own infants.23 Not surprisingly, decades of animal and human research underscore the link between substance addiction and impaired maternal caregiving, moderated by a variety of environmental and social factors that may strengthen or undermine the link. Substance-using mothers, compared to non-using mothers, are observed to be less attentive and responsive to their infants, while being more intrusive and hostile.170 Both on behavioral and neural levels, they find infant cues to be less gratifying and more stressful,98,201,202 which may place the infant at an increased risk for abuse or neglect.

Thus, it appears that parenting difficulties associated with addiction may increase the risk that the infant’s early environment will be less than optimal. This can lead to the perpetuation of adverse childhood experiences, thereby continuing the cycle of early adversity and addiction.10,203 There is a preponderance of evidence in support of this notion. The risk for abuse and neglect appears to rise substantially in the presence of substance addiction.7 Infants of substance-using mothers are considerably more likely to be removed from their mothers and placed in out-of-home care.8 Substance-using mothers also exhibit elevated levels of parenting stress, which can give rise to an increased display of problematic parenting behaviors.204 Taken together, these findings point to a pattern of intergenerational effects, whereby mothers with substance addiction have often experienced inadequate caregiving environments during their own childhood, while their own substance use in adulthood increases the likelihood that they will provide neglectful or abusive care to their children.

Conclusions

The present paper reviewed the mechanisms by which early-life experience shapes the DA, OT, and GC systems in the developing brain. We have summarized long-lasting molecular, neuroendocrine, and behavioral alterations that occur in animals and humans following early-life adversity. We have examined these modifications with regard to their effects on substance addiction and have shown that these alterations may serve as mediating pathways between early adverse experience and enhanced susceptibility to addiction. We have further reviewed how substance addiction, once developed, may promote compromised parenting behavior, increasing the possibility that less-than-optimal care will be provided to the next generation. This is likely to lead to the perpetuation of early adversity and addiction in the generations that follow, unless appropriate prevention and intervention efforts are made.

Current treatment strategies for substance-use disorders tend to focus on the individual and the cessation of substance use, rather than the developmental and social processes that may perpetuate addiction. A notable exception to this can be found in an attachment-based parenting intervention model for substance-using women, which targets the quality of relationships between substance-using mothers and their young children and has been shown to be effective in reducing substance use.205,206 The developmental perspective underscored in the present review proposes an intergenerational conceptual framework linking addiction susceptibility to early adversity, chronic stress, and changes in the function and regulation of neurobiological systems. This perspective is innovative in implicitly proposing that addiction is a developmental disorder and that early adversity and chronic stress may be precursors for a number of later adult psychiatric disorders associated with disruptions in both social processes and the positive and negative valence systems. Such a developmental approach also shifts the focus in addiction treatment from an intervention to a prevention model and provides a novel way to consider how to break the cycle of addiction for the next generation.

Acknowledgments

This work was supported by grants from the National Institute on Drug Abuse (R01 DA026437, R01 DA06025, and R01 DA02446), the Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD065819 and R03 HD080998), and the National Center on Addiction and Substance Abuse (CASAColumbia). None of the funding agencies had a role in the drafting of the manuscript or the decision to submit the paper for publication.

Footnotes

a

As we examine long-term developmental consequences of early-life experiences, we draw from growing data on natural within-species variations seen in rodent mothers’ pup licking/grooming behaviors55 as well as those observed in human mothers’ infant-directed behaviors.207 Low pup licking/grooming and compromised infant-directed caregiving behaviors are often regarded as negative, largely due to their links to long-term offspring outcomes that are generally considered adverse (such as those examined in this review, including high risk taking, social impairment, and high stress reactivity). However, we note here that developmental changes incurred by these early experiences have adaptive significance in their particular contexts and cannot simply be deemed as “good” or “bad.”19 Developmental adaptations tend to occur in such a way as to enhance a developing organism’s chances of survival and functioning in the prevailing environment in which it exists. Inherent in this view is the understanding that adaptations to a given environment have trade-offs.208 This is well reflected in findings from both animal models209,210 and human studies,211,212 suggesting that female offspring raised in an early environment characterized by low nurturance and safety (e.g., low licking/grooming in rodents, insecure mother–infant attachment in humans) often grow up to become adults who display low emotional stability (e.g., high stress reactivity, emotional health risks) but high reproductive success (e.g., early-onset puberty, increased sexual behavior, higher rate of pregnancy), whereas an early environment characterized by high nurturance and safety often leads to the opposite pattern.

Conflicts of interest

The authors report no conflicts of interest with respect to the content of this manuscript. Dr. Potenza has received financial support or compensation for the following: Dr. Potenza has consulted for Ironwood, Lundbeck, Shire, INSYS, RiverMend Health and Lakelight Therapeutics/Opiant; has received research support from Mohegan Sun Casino, the National Center for Responsible Gaming, and Pfizer; has participated in surveys, mailings or telephone consultations related to drug addiction, impulse control disorders or other health topics; has consulted for legal entities on issues related to impulse control disorders; provides clinical care in the Connecticut Department of Mental Health and Addiction Services Problem Gambling Services Program; has performed grant reviews for the National Institutes of Health and other agencies; has edited/guest edited journals or sections thereof; has given academic lectures in grand rounds, CME events and other clinical or scientific venues; and has generated books or book chapters for publishers of mental health texts.

References

  • 1.Substance Abuse and Mental Health Services Administration; U.S. Department of Health and Human Services, editor. Results from the 2013 National Survey on Drug Use and Health: Summary of national findings. Rockville, MD: 2014. [Google Scholar]
  • 2.U.S. Department of Health and Human Services; Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion & Office on Smoking and Health, editor. The health consequences of smoking--50 years of progress: A report of the Surgeon General. Atlanta, GA: 2014. [Google Scholar]
  • 3.National Drug Intelligence Center; U.S. Department of Justice, editor. National drug threat assessment. Washington, DC: 2014. [Google Scholar]
  • 4.Centers for Disease Control and Prevention; U.S. Department of Health and Human Services, editor Excessive drinking costs US $2235 billion. 2014. [Google Scholar]
  • 5.Kuczkowski KM. The effects of drug abuse on pregnancy. Current opinion in obstetrics & gynecology. 2007;19:578–585. doi: 10.1097/GCO.0b013e3282f1bf17. [DOI] [PubMed] [Google Scholar]
  • 6.Substance Abuse and Mental Health Services Administration; U.S. Department of Health and Human Services, editor. The NSDUH report: Substance use among women during pregnancy and following childbirth. Rockville, MD: 2009. [Google Scholar]
  • 7.Barth RP. Preventing child abuse and neglect with parent training: evidence and opportunities. Future Child. 2009;19:95–118. doi: 10.1353/foc.0.0031. [DOI] [PubMed] [Google Scholar]
  • 8.Minnes S, et al. Psychosocial and behavioral factors related to the post-partum placements of infants born to cocaine-using women. Child abuse & neglect. 2008;32:353–366. doi: 10.1016/j.chiabu.2007.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Child Welfare Information Gateway; U.S. Department of Health and Human Services & Children’s Bureau, editor. Parental substance use and the child welfare system. Washington, DC: 2014. [Google Scholar]
  • 10.Dube SR, et al. Childhood Abuse, Neglect, and Household Dysfunction and the Risk of Illicit Drug Use: The Adverse Childhood Experiences Study. Pediatrics. 2003;111:564–572. doi: 10.1542/peds.111.3.564. [DOI] [PubMed] [Google Scholar]
  • 11.Anda RF, et al. The enduring effects of abuse and related adverse experiences in childhood. A convergence of evidence from neurobiology and epidemiology. Eur Arch Psychiatry Clin Neurosci. 2006;256:174–186. doi: 10.1007/s00406-005-0624-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Bayer SA, et al. Time of neuron origin and gradients of neurogenesis in midbrain dopaminergic neurons in the mouse. Experimental brain research. 1995;105:191–199. doi: 10.1007/BF00240955. [DOI] [PubMed] [Google Scholar]
  • 13.Burke RE. Ontogenic cell death in the nigrostriatal system. Cell and tissue research. 2004;318:63–72. doi: 10.1007/s00441-004-0908-4. [DOI] [PubMed] [Google Scholar]
  • 14.Prakash N, Wurst W. Development of dopaminergic neurons in the mammalian brain. Cellular and molecular life sciences : CMLS. 2006;63:187–206. doi: 10.1007/s00018-005-5387-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Bales KL, Perkeybile AM. Developmental experiences and the oxytocin receptor system. Hormones and behavior. 2012;61:313–319. doi: 10.1016/j.yhbeh.2011.12.013. [DOI] [PubMed] [Google Scholar]
  • 16.Amaral DG, Dent JA. Development of the mossy fibers of the dentate gyrus: I. A light and electron microscopic study of the mossy fibers and their expansions. The Journal of comparative neurology. 1981;195:51–86. doi: 10.1002/cne.901950106. [DOI] [PubMed] [Google Scholar]
  • 17.Hofer MA. Hidden regulators in attachment, separation, and loss. Monographs of the Society for Research in Child Development. 1994;59:192–207. [PubMed] [Google Scholar]
  • 18.Bowlby J. Attachment and loss. Basic Books; New York, NY: 1969/1982. [Google Scholar]
  • 19.Macri S, Wurbel H. Developmental plasticity of HPA and fear responses in rats: a critical review of the maternal mediation hypothesis. Hormones and behavior. 2006;50:667–680. doi: 10.1016/j.yhbeh.2006.06.015. [DOI] [PubMed] [Google Scholar]
  • 20.Hall FS, Perona MT. Have studies of the developmental regulation of behavioral phenotypes revealed the mechanisms of gene-environment interactions? Physiology & behavior. 2012;107:623–640. doi: 10.1016/j.physbeh.2012.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Harlow HF, Harlow M. Learning to love. American scientist. 1966;54:244–272. [PubMed] [Google Scholar]
  • 22.Bjorklund A, Dunnett SB. Dopamine neuron systems in the brain: an update. Trends in neurosciences. 2007;30:194–202. doi: 10.1016/j.tins.2007.03.006. [DOI] [PubMed] [Google Scholar]
  • 23.Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2010;35:217–238. doi: 10.1038/npp.2009.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Grant JE, Brewer JA, Potenza MN. The neurobiology of substance and behavioral addictions. CNS spectrums. 2006;11:924–930. doi: 10.1017/s109285290001511x. [DOI] [PubMed] [Google Scholar]
  • 25.Authement ME, et al. Histone Deacetylase Inhibition Rescues Maternal Deprivation-Induced GABAergic Metaplasticity through Restoration of AKAP Signaling. Neuron. 2015;86:1240–1252. doi: 10.1016/j.neuron.2015.05.024. [DOI] [PubMed] [Google Scholar]
  • 26.Chocyk A, et al. The impact of maternal separation on the number of tyrosine hydroxylase-expressing midbrain neurons during different stages of ontogenesis. Neuroscience. 2011;182:43–61. doi: 10.1016/j.neuroscience.2011.03.008. [DOI] [PubMed] [Google Scholar]
  • 27.Chocyk A, et al. Maternal separation affects the number, proliferation and apoptosis of glia cells in the substantia nigra and ventral tegmental area of juvenile rats. Neuroscience. 2011;173:1–18. doi: 10.1016/j.neuroscience.2010.11.037. [DOI] [PubMed] [Google Scholar]
  • 28.Rentesi G, et al. Early maternal deprivation-induced modifications in the neurobiological, neurochemical and behavioral profile of adult rats. Behavioural brain research. 2013;244:29–37. doi: 10.1016/j.bbr.2013.01.040. [DOI] [PubMed] [Google Scholar]
  • 29.Brake WG, et al. Influence of early postnatal rearing conditions on mesocorticolimbic dopamine and behavioural responses to psychostimulants and stressors in adult rats. The European journal of neuroscience. 2004;19:1863–1874. doi: 10.1111/j.1460-9568.2004.03286.x. [DOI] [PubMed] [Google Scholar]
  • 30.Rodrigues AJ, et al. Potential programming of dopaminergic circuits by early life stress. Psychopharmacology. 2011;214:107–120. doi: 10.1007/s00213-010-2085-3. [DOI] [PubMed] [Google Scholar]
  • 31.Pena CJ, et al. Effects of maternal care on the development of midbrain dopamine pathways and reward-directed behavior in female offspring. The European journal of neuroscience. 2014;39:946–956. doi: 10.1111/ejn.12479. [DOI] [PubMed] [Google Scholar]
  • 32.Champagne FA, et al. Variations in nucleus accumbens dopamine associated with individual differences in maternal behavior in the rat. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2004;24:4113–4123. doi: 10.1523/JNEUROSCI.5322-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Llorente R, et al. Sex-dependent maternal deprivation effects on brain monoamine content in adolescent rats. Neuroscience letters. 2010;479:112–117. doi: 10.1016/j.neulet.2010.05.039. [DOI] [PubMed] [Google Scholar]
  • 34.Afonso VM, et al. Accumbal dopamine function in postpartum rats that were raised without their mothers. Hormones and behavior. 2011;60:632–643. doi: 10.1016/j.yhbeh.2011.08.016. [DOI] [PubMed] [Google Scholar]
  • 35.Arborelius L, Eklund MB. Both long and brief maternal separation produces persistent changes in tissue levels of brain monoamines in middle-aged female rats. Neuroscience. 2007;145:738–750. doi: 10.1016/j.neuroscience.2006.12.007. [DOI] [PubMed] [Google Scholar]
  • 36.Hall FS, et al. Maternal deprivation of neonatal rats produces enduring changes in dopamine function. Synapse. 1999;32:37–43. doi: 10.1002/(SICI)1098-2396(199904)32:1<37::AID-SYN5>3.0.CO;2-4. [DOI] [PubMed] [Google Scholar]
  • 37.Pruessner JC, et al. Dopamine release in response to a psychological stress in humans and its relationship to early life maternal care: a positron emission tomography study using [11C]raclopride. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2004;24:2825–2831. doi: 10.1523/JNEUROSCI.3422-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Oswald LM, et al. History of childhood adversity is positively associated with ventral striatal dopamine responses to amphetamine. Psychopharmacology. 2014;231:2417–2433. doi: 10.1007/s00213-013-3407-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Strathearn L, et al. Adult attachment predicts maternal brain and oxytocin response to infant cues. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2009;34:2655–2666. doi: 10.1038/npp.2009.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Boecker R, et al. Impact of early life adversity on reward processing in young adults: EEG-fMRI results from a prospective study over 25 years. PloS one. 2014;9:e104185. doi: 10.1371/journal.pone.0104185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Sharp C, et al. Major depression in mothers predicts reduced ventral striatum activation in adolescent female offspring with and without depression. Journal of abnormal psychology. 2014;123:298–309. doi: 10.1037/a0036191. [DOI] [PubMed] [Google Scholar]
  • 42.Dillon DG, et al. Childhood adversity is associated with left basal ganglia dysfunction during reward anticipation in adulthood. Biological psychiatry. 2009;66:206–213. doi: 10.1016/j.biopsych.2009.02.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Vidal-Infer A, et al. High novelty-seeking predicts greater sensitivity to the conditioned rewarding effects of cocaine. Pharmacology, biochemistry, and behavior. 2012;102:124–132. doi: 10.1016/j.pbb.2012.03.031. [DOI] [PubMed] [Google Scholar]
  • 44.Mantsch JR, et al. Predictable individual differences in the initiation of cocaine self-administration by rats under extended-access conditions are dose-dependent. Psychopharmacology. 2001;157:31–39. doi: 10.1007/s002130100744. [DOI] [PubMed] [Google Scholar]
  • 45.Zimmerberg B, Shartrand AM. Temperature-dependent effects of maternal separation on growth, activity, and amphetamine sensitivity in the rat. Developmental psychobiology. 1992;25:213–226. doi: 10.1002/dev.420250306. [DOI] [PubMed] [Google Scholar]
  • 46.Moffett MC, et al. Maternal separation alters drug intake patterns in adulthood in rats. Biochemical pharmacology. 2007;73:321–330. doi: 10.1016/j.bcp.2006.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Zuckerman M, Link K. Construct validity for the sensation-seeking scale. Journal of consulting and clinical psychology. 1968;32:420–426. doi: 10.1037/h0026047. [DOI] [PubMed] [Google Scholar]
  • 48.Buchmann AF, et al. Role of CNR1 polymorphisms in moderating the effects of psychosocial adversity on impulsivity in adolescents. Journal of neural transmission (Vienna, Austria : 1996) 2015;122:455–463. doi: 10.1007/s00702-014-1266-3. [DOI] [PubMed] [Google Scholar]
  • 49.Lukasiewicz M, et al. Pathways to substance-related disorder: a structural model approach exploring the influence of temperament, character, and childhood adversity in a national cohort of prisoners. Alcohol and alcoholism (Oxford, Oxfordshire) 2008;43:287–295. doi: 10.1093/alcalc/agm183. [DOI] [PubMed] [Google Scholar]
  • 50.Leyton M, et al. Amphetamine-induced increases in extracellular dopamine, drug wanting, and novelty seeking: a PET/[11C]raclopride study in healthy men. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2002;27:1027–1035. doi: 10.1016/S0893-133X(02)00366-4. [DOI] [PubMed] [Google Scholar]
  • 51.Adams JB, et al. Relationships between personality and preferred substance and motivations for use among adolescent substance abusers. The American journal of drug and alcohol abuse. 2003;29:691–712. doi: 10.1081/ada-120023465. [DOI] [PubMed] [Google Scholar]
  • 52.Campbell A. Oxytocin and human social behavior. Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc. 2010;14:281–295. doi: 10.1177/1088868310363594. [DOI] [PubMed] [Google Scholar]
  • 53.Gimpl G, Fahrenholz F. The oxytocin receptor system: structure, function, and regulation. Physiological reviews. 2001;81:629–683. doi: 10.1152/physrev.2001.81.2.629. [DOI] [PubMed] [Google Scholar]
  • 54.Numan M. Hypothalamic neural circuits regulating maternal responsiveness toward infants. Behavioral and cognitive neuroscience reviews. 2006;5:163–190. doi: 10.1177/1534582306288790. [DOI] [PubMed] [Google Scholar]
  • 55.Francis DD, Champagne FC, Meaney MJ. Variations in maternal behaviour are associated with differences in oxytocin receptor levels in the rat. Journal of neuroendocrinology. 2000;12:1145–1148. doi: 10.1046/j.1365-2826.2000.00599.x. [DOI] [PubMed] [Google Scholar]
  • 56.Meyer-Lindenberg A, et al. Oxytocin and vasopressin in the human brain: social neuropeptides for translational medicine. Nature reviews. Neuroscience. 2011;12:524–538. doi: 10.1038/nrn3044. [DOI] [PubMed] [Google Scholar]
  • 57.Kim S, Strathearn L. Trauma, mothering, and intergenerational transmission: A synthesis of behavioral and oxytocin research. The Psychoanalytic Study of the Child in press. [Google Scholar]
  • 58.Neumann ID, Landgraf R. Balance of brain oxytocin and vasopressin: implications for anxiety, depression, and social behaviors. Trends in neurosciences. 2012;35:649–659. doi: 10.1016/j.tins.2012.08.004. [DOI] [PubMed] [Google Scholar]
  • 59.Buisman-Pijlman FT, et al. Individual differences underlying susceptibility to addiction: Role for the endogenous oxytocin system. Pharmacology, biochemistry, and behavior. 2014;119:22–38. doi: 10.1016/j.pbb.2013.09.005. [DOI] [PubMed] [Google Scholar]
  • 60.Champagne F, et al. Naturally occurring variations in maternal behavior in the rat are associated with differences in estrogen-inducible central oxytocin receptors. Proceedings of the National Academy of Sciences of the United States of America. 2001;98:12736–12741. doi: 10.1073/pnas.221224598. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Francis DD, et al. Naturally occurring differences in maternal care are associated with the expression of oxytocin and vasopressin (V1a) receptors: gender differences. Journal of neuroendocrinology. 2002;14:349–353. doi: 10.1046/j.0007-1331.2002.00776.x. [DOI] [PubMed] [Google Scholar]
  • 62.Champagne FA, Meaney MJ. Transgenerational effects of social environment on variations in maternal care and behavioral response to novelty. Behavioral neuroscience. 2007;121:1353–1363. doi: 10.1037/0735-7044.121.6.1353. [DOI] [PubMed] [Google Scholar]
  • 63.Champagne FA, et al. Maternal care associated with methylation of the estrogen receptor-alpha1b promoter and estrogen receptor-alpha expression in the medial preoptic area of female offspring. Endocrinology. 2006;147:2909–2915. doi: 10.1210/en.2005-1119. [DOI] [PubMed] [Google Scholar]
  • 64.Camozzato TS, et al. Neonatal handling reduces the number of cells in the medial preoptic area of female rats. Brain research. 2009;1247:92–99. doi: 10.1016/j.brainres.2008.09.077. [DOI] [PubMed] [Google Scholar]
  • 65.Winkelmann-Duarte EC, et al. Plastic changes induced by neonatal handling in the hypothalamus of female rats. Brain research. 2007;1170:20–30. doi: 10.1016/j.brainres.2007.07.030. [DOI] [PubMed] [Google Scholar]
  • 66.Todeschin AS, et al. Effects of neonatal handling on social memory, social interaction, and number of oxytocin and vasopressin neurons in rats. Hormones and behavior. 2009;56:93–100. doi: 10.1016/j.yhbeh.2009.03.006. [DOI] [PubMed] [Google Scholar]
  • 67.Veenema AH, Bredewold R, Neumann ID. Opposite effects of maternal separation on intermale and maternal aggression in C57BL/6 mice: link to hypothalamic vasopressin and oxytocin immunoreactivity. Psychoneuroendocrinology. 2007;32:437–450. doi: 10.1016/j.psyneuen.2007.02.008. [DOI] [PubMed] [Google Scholar]
  • 68.Lukas M, et al. Maternal separation interferes with developmental changes in brain vasopressin and oxytocin receptor binding in male rats. Neuropharmacology. 2010;58:78–87. doi: 10.1016/j.neuropharm.2009.06.020. [DOI] [PubMed] [Google Scholar]
  • 69.Henriques TP, et al. Stress in neonatal rats with different maternal care backgrounds: monoaminergic and hormonal responses. Neurochemical research. 2014;39:2351–2359. doi: 10.1007/s11064-014-1434-8. [DOI] [PubMed] [Google Scholar]
  • 70.Oreland S, Gustafsson-Ericson L, Nylander I. Short- and long-term consequences of different early environmental conditions on central immunoreactive oxytocin and arginine vasopressin levels in male rats. Neuropeptides. 2010;44:391–398. doi: 10.1016/j.npep.2010.06.001. [DOI] [PubMed] [Google Scholar]
  • 71.Bales KL, et al. Are behavioral effects of early experience mediated by oxytocin? Frontiers in psychiatry. 2011;2:24. doi: 10.3389/fpsyt.2011.00024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Nylander I, Roman E. Neuropeptides as mediators of the early-life impact on the brain; implications for alcohol use disorders. Frontiers in molecular neuroscience. 2012;5:77. doi: 10.3389/fnmol.2012.00077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Carter CS, et al. Oxytocin, vasopressin and sociality. Progress in brain research. 2008;170:331–336. doi: 10.1016/S0079-6123(08)00427-5. [DOI] [PubMed] [Google Scholar]
  • 74.Winslow JT, et al. Rearing effects on cerebrospinal fluid oxytocin concentration and social buffering in rhesus monkeys. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2003;28:910–918. doi: 10.1038/sj.npp.1300128. [DOI] [PubMed] [Google Scholar]
  • 75.Wismer Fries AB, et al. Early experience in humans is associated with changes in neuropeptides critical for regulating social behavior. Proceedings of the National Academy of Sciences of the United States of America. 2005;102:17237–17240. doi: 10.1073/pnas.0504767102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Heim C, et al. Lower CSF oxytocin concentrations in women with a history of childhood abuse. Molecular psychiatry. 2009;14:954–958. doi: 10.1038/mp.2008.112. [DOI] [PubMed] [Google Scholar]
  • 77.Bertsch K, et al. Reduced plasma oxytocin levels in female patients with borderline personality disorder. Hormones and behavior. 2013;63:424–429. doi: 10.1016/j.yhbeh.2012.11.013. [DOI] [PubMed] [Google Scholar]
  • 78.Opacka-Juffry J, Mohiyeddini C. Experience of stress in childhood negatively correlates with plasma oxytocin concentration in adult men. Stress. 2012;15:1–10. doi: 10.3109/10253890.2011.560309. [DOI] [PubMed] [Google Scholar]
  • 79.Feldman R, Gordon I, Zagoory-Sharon O. The cross-generation transmission of oxytocin in humans. Hormones and behavior. 2010;58:669–676. doi: 10.1016/j.yhbeh.2010.06.005. [DOI] [PubMed] [Google Scholar]
  • 80.Feldman R, et al. Parent-child interaction and oxytocin production in pre-schoolers with autism spectrum disorder. The British journal of psychiatry : the journal of mental science. 2014;205:107–112. doi: 10.1192/bjp.bp.113.137513. [DOI] [PubMed] [Google Scholar]
  • 81.Pierrehumbert B, et al. Adult attachment representations predict cortisol and oxytocin responses to stress. Attachment & human development. 2012;14:453–476. doi: 10.1080/14616734.2012.706394. [DOI] [PubMed] [Google Scholar]
  • 82.Samuel S, et al. Attachment security and recent stressful life events predict oxytocin levels: a pilot study of pregnant women with high levels of cumulative psychosocial adversity. Attachment & human development. 2015;17:272–287. doi: 10.1080/14616734.2015.1029951. [DOI] [PubMed] [Google Scholar]
  • 83.Atzil S, Hendler T, Feldman R. Specifying the neurobiological basis of human attachment: brain, hormones, and behavior in synchronous and intrusive mothers. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2011;36:2603–2615. doi: 10.1038/npp.2011.172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Atzil S, et al. Synchrony and specificity in the maternal and the paternal brain: relations to oxytocin and vasopressin. Journal of the American Academy of Child and Adolescent Psychiatry. 2012;51:798–811. doi: 10.1016/j.jaac.2012.06.008. [DOI] [PubMed] [Google Scholar]
  • 85.Vrticka P, et al. Individual attachment style modulates human amygdala and striatum activation during social appraisal. PloS one. 2008;3:e2868. doi: 10.1371/journal.pone.0002868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Levy F, et al. Complete maternal deprivation affects social, but not spatial, learning in adult rats. Developmental psychobiology. 2003;43:177–191. doi: 10.1002/dev.10131. [DOI] [PubMed] [Google Scholar]
  • 87.Ahern TH, Young LJ. The impact of early life family structure on adult social attachment, alloparental behavior, and the neuropeptide systems regulating affiliative behaviors in the monogamous prairie vole (microtus ochrogaster) Frontiers in behavioral neuroscience. 2009;3:17. doi: 10.3389/neuro.08.017.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Francis D, et al. Nongenomic transmission across generations of maternal behavior and stress responses in the rat. Science. 1999;286:1155–1158. doi: 10.1126/science.286.5442.1155. [DOI] [PubMed] [Google Scholar]
  • 89.O’Connor TG, Rutter M. Attachment disorder behavior following early severe deprivation: extension and longitudinal follow-up. English and Romanian Adoptees Study Team. Journal of the American Academy of Child and Adolescent Psychiatry. 2000;39:703–712. doi: 10.1097/00004583-200006000-00008. [DOI] [PubMed] [Google Scholar]
  • 90.Rutter M, et al. Early adolescent outcomes for institutionally-deprived and non-deprived adoptees. I: disinhibited attachment. Journal of child psychology and psychiatry, and allied disciplines. 2007;48:17–30. doi: 10.1111/j.1469-7610.2006.01688.x. [DOI] [PubMed] [Google Scholar]
  • 91.Lyons-Ruth K, Block D. The disturbed caregiving system: relations among childhood trauma, maternal caregiving, and infant affect and attachment. Infant Mental Health Journal. 1996;17:257–275. [Google Scholar]
  • 92.Hesse E, Main M. Second-generation effects of unresolved trauma as observed in non-maltreating parents: Dissociated, frightened, and threatening parental behavior. Psychoanalytic Inquiry. 1999;19:481–540. [Google Scholar]
  • 93.Iyengar U, et al. Unresolved trauma in mothers: intergenerational effects and the role of reorganization. Frontiers in psychology. 2014;5:966. doi: 10.3389/fpsyg.2014.00966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Kim S, et al. Mothers who are securely attached in pregnancy show more attuned infant mirroring 7 months postpartum. Infant behavior & development. 2014;37:491–504. doi: 10.1016/j.infbeh.2014.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Kim S, et al. Maternal oxytocin response predicts mother-to-infant gaze. Brain research. 2014;1580:133–142. doi: 10.1016/j.brainres.2013.10.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Kim S. The mind in the making: Developmental and neurobiological origins of mentalizing. Personality Disorders: Theory, Research, and Treatment. 2015;6:356–365. doi: 10.1037/per0000102. [DOI] [PubMed] [Google Scholar]
  • 97.Burkett JP, Young LJ. The behavioral, anatomical and pharmacological parallels between social attachment, love and addiction. Psychopharmacology. 2012;224:1–26. doi: 10.1007/s00213-012-2794-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Rutherford HJ, et al. Disruption of maternal parenting circuitry by addictive process: rewiring of reward and stress systems. Frontiers in psychiatry. 2011;2:37. doi: 10.3389/fpsyt.2011.00037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Jones GH, Marsden CA, Robbins TW. Increased sensitivity to amphetamine and reward-related stimuli following social isolation in rats: possible disruption of dopamine-dependent mechanisms of the nucleus accumbens. Psychopharmacology. 1990;102:364–372. doi: 10.1007/BF02244105. [DOI] [PubMed] [Google Scholar]
  • 100.Whitaker LR, Degoulet M, Morikawa H. Social deprivation enhances VTA synaptic plasticity and drug-induced contextual learning. Neuron. 2013;77:335–345. doi: 10.1016/j.neuron.2012.11.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Stockdale SE, et al. The importance of social context: neighborhood stressors, stress-buffering mechanisms, and alcohol, drug, and mental health disorders. Social science & medicine. 2007;65:1867–1881. doi: 10.1016/j.socscimed.2007.05.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Baracz SJ, et al. Oxytocin directly administered into the nucleus accumbens core or subthalamic nucleus attenuates methamphetamine-induced conditioned place preference. Behavioural brain research. 2012;228:185–193. doi: 10.1016/j.bbr.2011.11.038. [DOI] [PubMed] [Google Scholar]
  • 103.Qi J, et al. Effects of oxytocin on methamphetamine-induced conditioned place preference and the possible role of glutamatergic neurotransmission in the medial prefrontal cortex of mice in reinstatement. Neuropharmacology. 2009;56:856–865. doi: 10.1016/j.neuropharm.2009.01.010. [DOI] [PubMed] [Google Scholar]
  • 104.Ibragimov R, et al. Microinjection of oxytocin into limbic-mesolimbic brain structures disrupts heroin self-administration behavior: a receptor-mediated event? Life sciences. 1987;41:1265–1271. doi: 10.1016/0024-3205(87)90205-0. [DOI] [PubMed] [Google Scholar]
  • 105.Kovacs GL, Sarnyai Z, Szabo G. Oxytocin and addiction: a review. Psychoneuroendocrinology. 1998;23:945–962. doi: 10.1016/s0306-4530(98)00064-x. [DOI] [PubMed] [Google Scholar]
  • 106.Han WY, et al. Oxytocin via its receptor affects restraint stress-induced methamphetamine CPP reinstatement in mice: Involvement of the medial prefrontal cortex and dorsal hippocampus glutamatergic system. Pharmacology, biochemistry, and behavior. 2014;119:80–87. doi: 10.1016/j.pbb.2013.11.014. [DOI] [PubMed] [Google Scholar]
  • 107.Pedersen CA, et al. Intranasal oxytocin blocks alcohol withdrawal in human subjects. Alcoholism, clinical and experimental research. 2013;37:484–489. doi: 10.1111/j.1530-0277.2012.01958.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.McRae-Clark AL, et al. Effect of oxytocin on craving and stress response in marijuana-dependent individuals: a pilot study. Psychopharmacology. 2013;228:623–631. doi: 10.1007/s00213-013-3062-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Olff M, et al. The role of oxytocin in social bonding, stress regulation and mental health: an update on the moderating effects of context and interindividual differences. Psychoneuroendocrinology. 2013;38:1883–1894. doi: 10.1016/j.psyneuen.2013.06.019. [DOI] [PubMed] [Google Scholar]
  • 110.Lee MR, et al. Complexity of oxytocins effects in a chronic cocaine dependent population. European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology. 2014;24:1483–1491. doi: 10.1016/j.euroneuro.2014.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Lupien SJ, et al. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature reviews. Neuroscience. 2009;10:434–445. doi: 10.1038/nrn2639. [DOI] [PubMed] [Google Scholar]
  • 112.Herman JP, et al. Central mechanisms of stress integration: hierarchical circuitry controlling hypothalamo-pituitary-adrenocortical responsiveness. Frontiers in neuroendocrinology. 2003;24:151–180. doi: 10.1016/j.yfrne.2003.07.001. [DOI] [PubMed] [Google Scholar]
  • 113.Reul JM, de Kloet ER. Two receptor systems for corticosterone in rat brain: microdistribution and differential occupation. Endocrinology. 1985;117:2505–2511. doi: 10.1210/endo-117-6-2505. [DOI] [PubMed] [Google Scholar]
  • 114.Sapolsky RM, Krey LC, McEwen BS. Glucocorticoid-sensitive hippocampal neurons are involved in terminating the adrenocortical stress response. Proceedings of the National Academy of Sciences of the United States of America. 1984;81:6174–6177. doi: 10.1073/pnas.81.19.6174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Gray TS. Amygdaloid CRF pathways. Role in autonomic, neuroendocrine, and behavioral responses to stress. Annals of the New York Academy of Sciences. 1993;697:53–60. doi: 10.1111/j.1749-6632.1993.tb49922.x. [DOI] [PubMed] [Google Scholar]
  • 116.Koob GF. Corticotropin-releasing factor, norepinephrine, and stress. Biological psychiatry. 1999;46:1167–1180. doi: 10.1016/s0006-3223(99)00164-x. [DOI] [PubMed] [Google Scholar]
  • 117.Kirby LG, Rice KC, Valentino RJ. Effects of corticotropin-releasing factor on neuronal activity in the serotonergic dorsal raphe nucleus. Neuropsychopharmacology. 2000;22:148–162. doi: 10.1016/S0893-133X(99)00093-7. [DOI] [PubMed] [Google Scholar]
  • 118.Lowry CA, et al. Corticotropin-releasing factor increases in vitro firing rates of serotonergic neurons in the rat dorsal raphe nucleus: evidence for activation of a topographically organized mesolimbocortical serotonergic system. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2000;20:7728–7736. doi: 10.1523/JNEUROSCI.20-20-07728.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Mo B, et al. Restraint stress increases serotonin release in the central nucleus of the amygdala via activation of corticotropin-releasing factor receptors. Brain research bulletin. 2008;76:493–498. doi: 10.1016/j.brainresbull.2008.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Liu D, et al. Maternal care, hippocampal glucocorticoid receptors, and hypothalamic-pituitary-adrenal responses to stress. Science. 1997;277:1659–1662. doi: 10.1126/science.277.5332.1659. [DOI] [PubMed] [Google Scholar]
  • 121.Weaver IC, et al. Epigenetic programming by maternal behavior. Nature neuroscience. 2004;7:847–854. doi: 10.1038/nn1276. [DOI] [PubMed] [Google Scholar]
  • 122.Caldji C, et al. Maternal care during infancy regulates the development of neural systems mediating the expression of fearfulness in the rat. Proceedings of the National Academy of Sciences of the United States of America. 1998;95:5335–5340. doi: 10.1073/pnas.95.9.5335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Caldji C, Diorio J, Meaney MJ. Variations in maternal care alter GABA(A) receptor subunit expression in brain regions associated with fear. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2003;28:1950–1959. doi: 10.1038/sj.npp.1300237. [DOI] [PubMed] [Google Scholar]
  • 124.Weaver IC, Grant RJ, Meaney MJ. Maternal behavior regulates long-term hippocampal expression of BAX and apoptosis in the offspring. Journal of neurochemistry. 2002;82:998–1002. doi: 10.1046/j.1471-4159.2002.01054.x. [DOI] [PubMed] [Google Scholar]
  • 125.Bredy TW, et al. Maternal care influences neuronal survival in the hippocampus of the rat. The European journal of neuroscience. 2003;18:2903–2909. doi: 10.1111/j.1460-9568.2003.02965.x. [DOI] [PubMed] [Google Scholar]
  • 126.Bagot RC, et al. Maternal care determines rapid effects of stress mediators on synaptic plasticity in adult rat hippocampal dentate gyrus. Neurobiology of learning and memory. 2009;92:292–300. doi: 10.1016/j.nlm.2009.03.004. [DOI] [PubMed] [Google Scholar]
  • 127.Liu D, et al. Maternal care, hippocampal synaptogenesis and cognitive development in rats. Nature neuroscience. 2000;3:799–806. doi: 10.1038/77702. [DOI] [PubMed] [Google Scholar]
  • 128.Anisman H, et al. Do early-life events permanently alter behavioral and hormonal responses to stressors? International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience. 1998;16:149–164. doi: 10.1016/s0736-5748(98)00025-2. [DOI] [PubMed] [Google Scholar]
  • 129.Ladd CO, Owens MJ, Nemeroff CB. Persistent changes in corticotropin-releasing factor neuronal systems induced by maternal deprivation. Endocrinology. 1996;137:1212–1218. doi: 10.1210/endo.137.4.8625891. [DOI] [PubMed] [Google Scholar]
  • 130.Plotsky PM, et al. Long-term consequences of neonatal rearing on central corticotropin-releasing factor systems in adult male rat offspring. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2005;30:2192–2204. doi: 10.1038/sj.npp.1300769. [DOI] [PubMed] [Google Scholar]
  • 131.Ladd CO, et al. Long-term adaptations in glucocorticoid receptor and mineralocorticoid receptor mrna and negative feedback on the hypothalamo-pituitary-adrenal axis following neonatal maternal separation. Biological psychiatry. 2004;55:367–375. doi: 10.1016/j.biopsych.2003.10.007. [DOI] [PubMed] [Google Scholar]
  • 132.Caldji C, et al. The effects of early rearing environment on the development of GABAA and central benzodiazepine receptor levels and novelty-induced fearfulness in the rat. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2000;22:219–229. doi: 10.1016/S0893-133X(99)00110-4. [DOI] [PubMed] [Google Scholar]
  • 133.Bravo JA, Dinan TG, Cryan JF. Early-life stress induces persistent alterations in 5-HT1A receptor and serotonin transporter mRNA expression in the adult rat brain. Frontiers in molecular neuroscience. 2014;7:24. doi: 10.3389/fnmol.2014.00024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Shikanai H, Kimura S, Togashi H. Early Life Stress Affects the Serotonergic System Underlying Emotional Regulation. Biological and Pharmaceutical Bulletin. 2013;36:1392–1395. doi: 10.1248/bpb.b13-00337. [DOI] [PubMed] [Google Scholar]
  • 135.Huot RL, et al. Neonatal maternal separation reduces hippocampal mossy fiber density in adult Long Evans rats. Brain research. 2002;950:52–63. doi: 10.1016/s0006-8993(02)02985-2. [DOI] [PubMed] [Google Scholar]
  • 136.Mirescu C, Peters JD, Gould E. Early life experience alters response of adult neurogenesis to stress. Nature neuroscience. 2004;7:841–846. doi: 10.1038/nn1290. [DOI] [PubMed] [Google Scholar]
  • 137.Plotsky PM, Meaney MJ. Early, postnatal experience alters hypothalamic corticotropin-releasing factor (CRF) mRNA, median eminence CRF content and stress-induced release in adult rats. Brain research. Molecular brain research. 1993;18:195–200. doi: 10.1016/0169-328x(93)90189-v. [DOI] [PubMed] [Google Scholar]
  • 138.Coplan JD, et al. Persistent elevations of cerebrospinal fluid concentrations of corticotropin-releasing factor in adult nonhuman primates exposed to early-life stressors: implications for the pathophysiology of mood and anxiety disorders. Proceedings of the National Academy of Sciences of the United States of America. 1996;93:1619–1623. doi: 10.1073/pnas.93.4.1619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Clarke AS, et al. Rearing experience and biogenic amine activity in infant rhesus monkeys. Biological …. 1996 doi: 10.1016/0006-3223(95)00663-X. [DOI] [PubMed] [Google Scholar]
  • 140.Higley JD, Suomi SJ, Linnoila M. A longitudinal assessment of CSF monoamine metabolite and plasma cortisol concentrations in young rhesus monkeys. Biological psychiatry. 1992;32:127–145. doi: 10.1016/0006-3223(92)90016-s. [DOI] [PubMed] [Google Scholar]
  • 141.Sanchez MM, et al. Alterations in diurnal cortisol rhythm and acoustic startle response in nonhuman primates with adverse rearing. Biological psychiatry. 2005;57:373–381. doi: 10.1016/j.biopsych.2004.11.032. [DOI] [PubMed] [Google Scholar]
  • 142.Pryce CR, et al. Long-term effects of early-life environmental manipulations in rodents and primates: Potential animal models in depression research. Neuroscience and biobehavioral reviews. 2005;29:649–674. doi: 10.1016/j.neubiorev.2005.03.011. [DOI] [PubMed] [Google Scholar]
  • 143.Sanchez MM, et al. Effects of sex and early maternal abuse on adrenocorticotropin hormone and cortisol responses to the corticotropin-releasing hormone challenge during the first 3 years of life in group-living rhesus monkeys. Development and psychopathology. 2010;22:45–53. doi: 10.1017/S0954579409990253. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Sanchez MM. The impact of early adverse care on HPA axis development: nonhuman primate models. Hormones and behavior. 2006;50:623–631. doi: 10.1016/j.yhbeh.2006.06.012. [DOI] [PubMed] [Google Scholar]
  • 145.Gunnar MR, et al. Stress reactivity and attachment security. Developmental psychobiology. 1996;29:191–204. doi: 10.1002/(SICI)1098-2302(199604)29:3<191::AID-DEV1>3.0.CO;2-M. [DOI] [PubMed] [Google Scholar]
  • 146.Albers EM, et al. Maternal behavior predicts infant cortisol recovery from a mild everyday stressor. Journal of child psychology and psychiatry, and allied disciplines. 2008;49:97–103. doi: 10.1111/j.1469-7610.2007.01818.x. [DOI] [PubMed] [Google Scholar]
  • 147.Heim C, et al. The dexamethasone/corticotropin-releasing factor test in men with major depression: role of childhood trauma. Biological psychiatry. 2008;63:398–405. doi: 10.1016/j.biopsych.2007.07.002. [DOI] [PubMed] [Google Scholar]
  • 148.Roy A. Urinary free cortisol and childhood trauma in cocaine dependent adults. Journal of psychiatric research. 2002;36:173–177. doi: 10.1016/s0022-3956(02)00002-x. [DOI] [PubMed] [Google Scholar]
  • 149.Grant MM, et al. Childhood trauma history differentiates amygdala response to sad faces within MDD. Journal of psychiatric research. 2011;45:886–895. doi: 10.1016/j.jpsychires.2010.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Kim S, et al. Mothers’ unresolved trauma blunts amygdala response to infant distress. Social neuroscience. 2014;9:352–363. doi: 10.1080/17470919.2014.896287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.McCrory E, De Brito SA, Viding E. The impact of childhood maltreatment: a review of neurobiological and genetic factors. Frontiers in psychiatry. 2011;2:48. doi: 10.3389/fpsyt.2011.00048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Cicchetti D, Rogosch FA. The impact of child maltreatment and psychopathology on neuroendocrine functioning. Development and psychopathology. 2001;13:783–804. [PubMed] [Google Scholar]
  • 153.Gunnar MR, Vazquez DM. Low cortisol and a flattening of expected daytime rhythm: potential indices of risk in human development. Development and psychopathology. 2001;13:515–538. doi: 10.1017/s0954579401003066. [DOI] [PubMed] [Google Scholar]
  • 154.Menard JL, Hakvoort RM. Variations of maternal care alter offspring levels of behavioural defensiveness in adulthood: evidence for a threshold model. Behavioural brain research. 2007;176:302–313. doi: 10.1016/j.bbr.2006.10.014. [DOI] [PubMed] [Google Scholar]
  • 155.Pryce CR, et al. Deprivation of parenting disrupts development of homeostatic and reward systems in marmoset monkey offspring. Biological psychiatry. 2004;56:72–79. doi: 10.1016/j.biopsych.2004.05.002. [DOI] [PubMed] [Google Scholar]
  • 156.Dettling AC, Feldon J, Pryce CR. Early deprivation and behavioral and physiological responses to social separation/novelty in the marmoset. Pharmacology, biochemistry, and behavior. 2002;73:259–269. doi: 10.1016/s0091-3057(02)00785-2. [DOI] [PubMed] [Google Scholar]
  • 157.Marco EM, et al. Detrimental psychophysiological effects of early maternal deprivation in adolescent and adult rodents: altered responses to cannabinoid exposure. Neuroscience and biobehavioral reviews. 2009;33:498–507. doi: 10.1016/j.neubiorev.2008.03.008. [DOI] [PubMed] [Google Scholar]
  • 158.Faturi CB, et al. Disruptions of the mother-infant relationship and stress-related behaviours: altered corticosterone secretion does not explain everything. Neuroscience and biobehavioral reviews. 2010;34:821–834. doi: 10.1016/j.neubiorev.2009.09.002. [DOI] [PubMed] [Google Scholar]
  • 159.Heim C, Nemeroff CB. The role of childhood trauma in the neurobiology of mood and anxiety disorders: preclinical and clinical studies. Biological psychiatry. 2001;49:1023–1039. doi: 10.1016/s0006-3223(01)01157-x. [DOI] [PubMed] [Google Scholar]
  • 160.Stein MB, et al. Childhood physical and sexual abuse in patients with anxiety disorders and in a community sample. The American journal of psychiatry. 1996;153:275–277. doi: 10.1176/ajp.153.2.275. [DOI] [PubMed] [Google Scholar]
  • 161.Kim S, Sharp C, Carbone C. The protective role of attachment security for adolescent borderline personality disorder features via enhanced positive emotion regulation strategies. Personality disorders. 2014;5:125–136. doi: 10.1037/per0000038. [DOI] [PubMed] [Google Scholar]
  • 162.Martin-Blanco A, et al. The role of hypothalamus-pituitary-adrenal genes and childhood trauma in borderline personality disorder. European archives of psychiatry and clinical neuroscience. 2015 doi: 10.1007/s00406-015-0612-2. [DOI] [PubMed] [Google Scholar]
  • 163.Schafer I, et al. Childhood trauma and dissociation in patients with alcohol dependence, drug dependence, or both-A multi-center study. Drug and alcohol dependence. 2010;109:84–89. doi: 10.1016/j.drugalcdep.2009.12.012. [DOI] [PubMed] [Google Scholar]
  • 164.Rao U, Hammen CL, Poland RE. Mechanisms underlying the comorbidity between depressive and addictive disorders in adolescents: interactions between stress and HPA activity. The American journal of psychiatry. 2009;166:361–369. doi: 10.1176/appi.ajp.2008.08030412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 165.Kaplow JB, et al. The prospective relation between dimensions of anxiety and the initiation of adolescent alcohol use. Journal of clinical child psychology. 2001;30:316–326. doi: 10.1207/S15374424JCCP3003_4. [DOI] [PubMed] [Google Scholar]
  • 166.Lijffijt M, Hu K, Swann AC. Stress modulates illness-course of substance use disorders: a translational review. Frontiers in psychiatry. 2014;5:83. doi: 10.3389/fpsyt.2014.00083. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Wang B, et al. Cocaine experience establishes control of midbrain glutamate and dopamine by corticotropin-releasing factor: a role in stress-induced relapse to drug seeking. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2005;25:5389–5396. doi: 10.1523/JNEUROSCI.0955-05.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Nikulina EM, et al. Intermittent social defeat stress enhances mesocorticolimbic DeltaFosB/BDNF co-expression and persistently activates corticotegmental neurons: implication for vulnerability to psychostimulants. Neuroscience. 2012;212:38–48. doi: 10.1016/j.neuroscience.2012.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.McKenzie M, et al. Association of adolescent symptoms of depression and anxiety with daily smoking and nicotine dependence in young adulthood: findings from a 10-year longitudinal study. Addiction. 2010;105:1652–1659. doi: 10.1111/j.1360-0443.2010.03002.x. [DOI] [PubMed] [Google Scholar]
  • 170.Kessler RC, et al. The epidemiology of co-occurring addictive and mental disorders: implications for prevention and service utilization. The American journal of orthopsychiatry. 1996;66:17–31. doi: 10.1037/h0080151. [DOI] [PubMed] [Google Scholar]
  • 171.Wolf ME. Addiction: making the connection between behavioral changes and neuronal plasticity in specific pathways. Mol Interv. 2002;2:146–157. doi: 10.1124/mi.2.3.146. [DOI] [PubMed] [Google Scholar]
  • 172.Luscher C, Malenka RC. Drug-evoked synaptic plasticity in addiction: from molecular changes to circuit remodeling. Neuron. 2011;69:650–663. doi: 10.1016/j.neuron.2011.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Bonci A, et al. The dopamine-containing neuron: maestro or simple musician in the orchestra of addiction? Trends in pharmacological sciences. 2003;24:172–177. doi: 10.1016/S0165-6147(03)00068-3. [DOI] [PubMed] [Google Scholar]
  • 174.Kalivas PW, O’Brien C. Drug addiction as a pathology of staged neuroplasticity. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2008;33:166–180. doi: 10.1038/sj.npp.1301564. [DOI] [PubMed] [Google Scholar]
  • 175.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]
  • 176.Mantsch JR, et al. Effects of cocaine self-administration on plasma corticosterone and prolactin in rats. The Journal of pharmacology and experimental therapeutics. 2000;294:239–247. [PubMed] [Google Scholar]
  • 177.Mantsch JR, et al. Neuroendocrine alterations in a high-dose, extended-access rat self-administration model of escalating cocaine use. Psychoneuroendocrinology. 2003;28:836–862. doi: 10.1016/s0306-4530(02)00088-4. [DOI] [PubMed] [Google Scholar]
  • 178.Mantsch JR, et al. Restraint-induced corticosterone secretion and hypothalamic CRH mRNA expression are augmented during acute withdrawal from chronic cocaine administration. Neuroscience letters. 2007;415:269–273. doi: 10.1016/j.neulet.2007.01.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Olive MF, et al. Elevated extracellular CRF levels in the bed nucleus of the stria terminalis during ethanol withdrawal and reduction by subsequent ethanol intake. Pharmacology, biochemistry, and behavior. 2002;72:213–220. doi: 10.1016/s0091-3057(01)00748-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.George O, et al. CRF-CRF1 system activation mediates withdrawal-induced increases in nicotine self-administration in nicotine-dependent rats. Proceedings of the National Academy of Sciences of the United States of America. 2007;104:17198–17203. doi: 10.1073/pnas.0707585104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Nestler EJ, Alreja M, Aghajanian GK. Molecular and cellular mechanisms of opiate action: studies in the rat locus coeruleus. Brain research bulletin. 1994;35:521–528. doi: 10.1016/0361-9230(94)90166-x. [DOI] [PubMed] [Google Scholar]
  • 182.Watanabe T, et al. Involvement of noradrenergic system within the central nucleus of the amygdala in naloxone-precipitated morphine withdrawal-induced conditioned place aversion in rats. Psychopharmacology. 2003;170:80–88. doi: 10.1007/s00213-003-1504-0. [DOI] [PubMed] [Google Scholar]
  • 183.Silva SM, et al. Prolonged alcohol intake leads to irreversible loss of vasopressin and oxytocin neurons in the paraventricular nucleus of the hypothalamus. Brain research. 2002;925:76–88. doi: 10.1016/s0006-8993(01)03261-9. [DOI] [PubMed] [Google Scholar]
  • 184.Sivukhina EV, et al. Effects of chronic alcoholic disease on magnocellular and parvocellular hypothalamic neurons in men. Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme. 2006;38:382–390. doi: 10.1055/s-2006-944522. [DOI] [PubMed] [Google Scholar]
  • 185.You ZD, et al. Chronic morphine treatment inhibits oxytocin synthesis in rats. Neuroreport. 2000;11:3113–3116. doi: 10.1097/00001756-200009280-00015. [DOI] [PubMed] [Google Scholar]
  • 186.Elliott JC, et al. Acute cocaine alters oxytocin levels in the medial preoptic area and amygdala in lactating rat dams: implications for cocaine-induced changes in maternal behavior and maternal aggression. Neuropeptides. 2001;35:127–134. doi: 10.1054/npep.2001.0854. [DOI] [PubMed] [Google Scholar]
  • 187.Butovsky E, et al. Chronic exposure to Delta9-tetrahydrocannabinol downregulates oxytocin and oxytocin-associated neurophysin in specific brain areas. Molecular and cellular neurosciences. 2006;31:795–804. doi: 10.1016/j.mcn.2006.01.008. [DOI] [PubMed] [Google Scholar]
  • 188.Baskerville TA, et al. Dopamine-oxytocin interactions in penile erection. The European journal of neuroscience. 2009;30:2151–2164. doi: 10.1111/j.1460-9568.2009.06999.x. [DOI] [PubMed] [Google Scholar]
  • 189.McGregor IS, Bowen MT. Breaking the loop: oxytocin as a potential treatment for drug addiction. Hormones and behavior. 2012;61:331–339. doi: 10.1016/j.yhbeh.2011.12.001. [DOI] [PubMed] [Google Scholar]
  • 190.Baskerville TA, Douglas AJ. Dopamine and oxytocin interactions underlying behaviors: potential contributions to behavioral disorders. CNS neuroscience & therapeutics. 2010;16:e92–123. doi: 10.1111/j.1755-5949.2010.00154.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 191.Kovacs GL, et al. The role of oxytocin-dopamine interactions in cocaine-induced locomotor hyperactivity. Neuropharmacology. 1990;29:365–368. doi: 10.1016/0028-3908(90)90095-9. [DOI] [PubMed] [Google Scholar]
  • 192.Saal D, et al. Drugs of abuse and stress trigger a common synaptic adaptation in dopamine neurons. Neuron. 2003;37:577–582. doi: 10.1016/s0896-6273(03)00021-7. [DOI] [PubMed] [Google Scholar]
  • 193.Campioni MR, Xu M, McGehee DS. Stress-induced changes in nucleus accumbens glutamate synaptic plasticity. Journal of neurophysiology. 2009;101:3192–3198. doi: 10.1152/jn.91111.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 194.Robinson TE, et al. Cocaine self-administration alters the morphology of dendrites and dendritic spines in the nucleus accumbens and neocortex. Synapse. 2001;39:257–266. doi: 10.1002/1098-2396(20010301)39:3<257::AID-SYN1007>3.0.CO;2-1. [DOI] [PubMed] [Google Scholar]
  • 195.Marinelli M, Piazza PV. Interaction between glucocorticoid hormones, stress and psychostimulant drugs. The European journal of neuroscience. 2002;16:387–394. doi: 10.1046/j.1460-9568.2002.02089.x. [DOI] [PubMed] [Google Scholar]
  • 196.Kreibich AS, et al. Stress-induced potentiation of cocaine reward: a role for CRF R1 and CREB. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2009;34:2609–2617. doi: 10.1038/npp.2009.91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 197.Koob GF, Le Moal M. Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2001;24:97–129. doi: 10.1016/S0893-133X(00)00195-0. [DOI] [PubMed] [Google Scholar]
  • 198.Strathearn L, Mayes LC. Cocaine addiction in mothers: potential effects on maternal care and infant development. Annals of the New York Academy of Sciences. 2010;1187:172–183. doi: 10.1111/j.1749-6632.2009.05142.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.Kim P, Strathearn L, Swain JE. The maternal brain and its plasticity in humans. Hormones and behavior. 2016;77:113–123. doi: 10.1016/j.yhbeh.2015.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 200.Kim S, Strathearn L. Oxytocin and maternal brain plasticity. In: Rutherford HJV, Mayes LC, editors. Maternal brain plasticity: Preclinical and human research and implications for intervention. New Directions for Child and Adolescent Development. Vol. 153. 2016. pp. 59–71. [DOI] [PubMed] [Google Scholar]
  • 201.Landi N, et al. Maternal neural responses to infant cries and faces: relationships with substance use. Frontiers in psychiatry. 2011;2:32. doi: 10.3389/fpsyt.2011.00032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 202.Sinha R, et al. Neural activity associated with stress-induced cocaine craving: a functional magnetic resonance imaging study. Psychopharmacology. 2005;183:171–180. doi: 10.1007/s00213-005-0147-8. [DOI] [PubMed] [Google Scholar]
  • 203.Mills R, et al. Alcohol and tobacco use among maltreated and non-maltreated adolescents in a birth cohort. Addiction. 2014;109:672–680. doi: 10.1111/add.12447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 204.Harmer AL, Sanderson J, Mertin P. Influence of negative childhood experiences on psychological functioning, social support, and parenting for mothers recovering from addiction. Child abuse & neglect. 1999;23:421–433. doi: 10.1016/s0145-2134(99)00020-4. [DOI] [PubMed] [Google Scholar]
  • 205.Suchman N, et al. The mothers and toddlers program: Preliminary findings from an attachment-based parenting intervention for substance-abusing mothers. Psychoanalytic psychology. 2008;25:499–517. doi: 10.1037/0736-9735.25.3.499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 206.Suchman NE, et al. Attachment-Based Intervention for Substance-Using Mothers: A Preliminary Test of the Proposed Mechanisms of Change. Infant mental health journal. 2012;33:360–371. doi: 10.1002/imhj.21311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 207.Feldman R, et al. Natural variations in maternal and paternal care are associated with systematic changes in oxytocin following parent-infant contact. Psychoneuroendocrinology. 2010;35:1133–1141. doi: 10.1016/j.psyneuen.2010.01.013. [DOI] [PubMed] [Google Scholar]
  • 208.Dufty AM, Clobert J, Moller AP. Hormones, developmental plasticity, and adaptation. Trends in Ecology and Evolution. 2002;17:190–196. [Google Scholar]
  • 209.Cameron NM, Fish EW, Meaney MJ. Maternal influences on the sexual behavior and reproductive success of the female rat. Hormones and behavior. 2008;54:178–184. doi: 10.1016/j.yhbeh.2008.02.013. [DOI] [PubMed] [Google Scholar]
  • 210.Cameron N, et al. Maternal programming of sexual behavior and hypothalamic-pituitary-gonadal function in the female rat. PloS one. 2008;3:e2210. doi: 10.1371/journal.pone.0002210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 211.Belsky J, Steinberg L, Draper P. Childhood Experience, Interpersonal Development, and Reproductive Strategy: An Evolutionary Theory of Socialization. Child development. 1991;62:647. doi: 10.1111/j.1467-8624.1991.tb01558.x. [DOI] [PubMed] [Google Scholar]
  • 212.Belsky J. The development of human reproductive strategies: Progress and prospects. Current Directions in Psychological Sciences. 2012;21:310–316. [Google Scholar]

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