Abstract
It is only through the advent of extended release/long-acting opioids that the concept of breakthrough pain emerged. The concept suggests that if pain emerges through satisfactory analgesia achieved by an extended release/long-acting opioid, then additional dosing with a short-acting opioid is needed. The concept therefore suggests that breakthrough pain is due to inadequate dosing of opioid. A different explanation, that of drug opposite neuroadaptation or tolerance, turns this thinking on its head. Suppose inadequate analgesia while receiving opioids is not due to an inadequate dose, but rather due to the rebound pain of tolerance. As such, the need to increase the dose sets up further need for pain relief by increasing the dose, the hallmark of negative reinforcement. Negative reinforcement, continued use to avoid negative effects (in this case withdrawal pain), then drives the unhappy state of needing higher doses in a futile attempt to relieve the pain created by the drug itself.
Perspective:
This article describes the neurobiological basis for tolerance to opioid analgesics and highlights the ultimate futility of dose increase as a means of overcoming tolerance. The article argues that so called breakthrough pain could equally be withdrawal hyperalgesia demanding a different response.
Summary:
Could neuroadaptation explain breakthrough pain, and what would this mean in terms of optimizing opioid efficacy and reducing risk of dependence on opioids.
Keywords: Opioids, Pain, Breakthrough pain, Tolerance, Withdrawal, Dependence, Opioid use disorder, Protracted withdrawal, Hyperkatifeia, Hyperalgesia
Fear of addiction has interfered with opioid treatment of pain for as long as humans have used opioids as drugs. Attempts to control opioid use and availability wax and wane with the tides of opioid epidemics, which inevitably impacts use and availability of opioids for the treatment of pain. By the mid-20th century mechanisms of both opioid addiction and opioid analgesia were beginning to be understood, and made addiction seem a function of tolerance and withdrawal that would not interfere when opioids were used for the treatment of pain. It was hypothesized that pain somehow protected against the development of addiction. So began an era of promotion of opioid use for the treatment of pain that considered tolerance and withdrawal not as contraindications, but as nuisance factors that could easily be overcome. Tolerance could be overcome by dose escalation, while withdrawal could be overcome by slow taper once the opioid was no longer needed.1 It started with the promotion of opioid treatment for pain due to cancer, which at the time tended to be a rapidly fatal and excruciatingly painful disease. It was in this context that the principle of titrate-to-effect opioid dosing emerged.2 On the premise that there was no ceiling dose for opioids since tolerance to most of their side effects (including potentially fatal respiratory depression) developed alongside tolerance to their analgesic effects, it was proposed that doses could and should be escalated to achieve comfort. The pain scale was also introduced at this time and used as the basis for dose titration. It did not take long for the titrate-to-effect principle to be applied more generally to both acute and chronic pain in addition to pain due to cancer.3
A second dosing principle was suggested when extended-release/long-acting (ERLA) opioids were released onto the market starting with MSContin (morphine sulphate extended release) in the 1980s and later OxyContin (oxycodone extended release) in the 1990s. Because these products would not necessarily provide the steady level of analgesia advertised, the phenomenon of breakthrough pain was suggested. Specifically, it was conceptualized that “breakthrough pain” would arise on a background of analgesia from an ERLA opioid that became insufficient.4–7 The solution was to add a short-acting opioid to the regime to supplement the ERLA opioid as needed. It is not surprising that applying either the titrate-to-effect principle or the breakthrough pain dosing principle would result in open-ended dose escalation, which ultimately proved to be a major problem since much opioid harm resides with high doses.8 Dose escalation can be avoided by utilizing non-opioid approaches to treat intermittent pain exacerbations whenever possible.
With the benefit of several decades of further scientific exploration, it is now possible to see that several of the assumptions concerning addiction, pain and opioid mechanisms on which the titrate-to effect principle and the breakthrough pain principle were based, were incorrect. This is largely because tolerance and withdrawal were misunderstood, especially as they apply to the treatment of pain with opioids.
Tolerance, withdrawal and neuroadaptation
Tolerance to opioids is produced by complex neuroadaptations, and may be thought of as neuroadaptation. Simply understood, drug tolerance is the need for a higher dose to achieve the same effect. If tolerance to an opioid develops and is not met with a dose increase, it may be manifest as a characteristic withdrawal syndrome. Withdrawal is therefore intrinsic to tolerance both phenomenologically and biologically. Since tolerance is a conditioned state, tolerance and withdrawal may emerge even without actual drug withdrawal.9–12 Tolerance and withdrawal can be benign, meaning short-lived and reversible within days, or can be more enduring or protracted and not easily reversed. With longer duration of therapy, enduring and protracted tolerance develops.13,14 Short-lived reversible tolerance and withdrawal are usually associated with short-term opioid use, whereas protracted adaptations tend to arise with long-term use. Tolerance and withdrawal are critical factors in the development of addiction, yet they can and do arise during the treatment of pain with opioids without necessarily progressing to addiction.15 However, it has been a mistake to assume that it follows that the tolerance and withdrawal developing during opioid analgesic treatment are benign. In fact, far from being benign, tolerance and withdrawal explain many of the downsides of chronic opioid treatment for pain including loss of efficacy, poor mood, tendency to misuse and difficulty tapering despite poor efficacy. Despite today’s general acceptance of the opioid treatment’s limited efficacy and safety, recent evidence reveals that there are still millions of Americans struggling to discontinue ineffective opioid pain treatment.16 We propose that the more enduring and protracted form of tolerance is the driving force for such opioid analgesic failure, and we describe the implicated neurobiological mechanisms in detail. Understanding the neuroadaptations behind this treatment failure may go a long way towards preventing and treating what is still a significant problem in pain management.
Distinguishing acute from protracted tolerance and withdrawal
Biologically, the brain reacts as soon as an opioid drug is taken in the form of an adaptive response termed neuroadaptation. However, the early stages (onset) of tolerance may not be apparent clinically. For example, an opioid at standard dose and frequency may provide adequate analgesia for the treatment of acute pain throughout an average course (3 days) without the need for dose escalation. Although acute withdrawal has been observed after a single administrations of an opioid, a clinically manifest withdrawal syndrome would be rare after termination of standard 3-day opioid analgesic therapy. The tendency to develop tolerance and withdrawal increases with dose and duration of therapy as a result of the development of neuroadaptation. A useful way to consider the clinical manifestations of tolerance is to distinguish what we may call acute withdrawal from protracted withdrawal, withdrawal being the clearest manifestation of tolerance (see Table 1). The earliest symptoms will be those listed in Table 1 under Classic Withdrawal, and in the case of short-term opioid use, these will be the likely (if any) manifestations of tolerance. These symptoms persist for only a matter of days after drug withdrawal. With continued use, protracted tolerance may develop which is manifest with additional more enduring symptoms (see Table 1), and engages different and much more complex underlying processes. Importantly, these symptoms may arise not only upon acute drug withdrawal, but throughout and even long after opioid use, reflecting long lasting brain changes. If protracted tolerance develops, acute withdrawal symptoms may still be manifest, but as with short-term use, acute withdrawal symptoms tend to subside within days. Protracted tolerance and withdrawal should be thought of as enduring neuroadaptation, which unlike acute tolerance and withdrawal will not reverse within days or even weeks.
Table 1.
| Classic symptoms of DSM-5 opioid withdrawal (often termed physical withdrawal) |
| • Irritability |
| • Anxiety |
| • Fatigue |
| • Insomnia |
| • Muscle aches |
| • Nausea or vomiting |
| • Diarrhea |
| • Fever or chills |
| • Rhinorrhea |
| • Lacrimation |
| • Pupillary dilation, piloerection, sweating |
| • Yawning |
| • Dysphoric mood |
| Pain related symptoms of acute and protracted withdrawal |
| • Hyperkatifeia |
| • Hyperalgesia |
| • Hypohedonia/anhedonia |
| • Malaise |
| • Anxiety |
| • Emotional pain |
| • Alexithymia |
| • Sleep disturbances |
NOTE: Acute withdrawal lasts in the order of 2 weeks. Symptoms that persist after acute withdrawal may be considered protracted withdrawal symptoms. Both acute and protracted withdrawal symptoms may arise even during opioid use since tolerance and withdrawal are context sensitive and subject to conditioning (see text). Note that the bottom section is an expansion of the DSM-5 criterium of dysphoric mood.
Allostasis, opioids as medications, and addiction
Allostasis is the process of adapting to challenges by adjusting bodily systems to meet new demands. While homeostasis is the “ideal” state, allostasis represents a shift in homeostasis to adapt to a change in circumstance without compromising stability.12 Allostasis theory has been applied not only to stress, pain and other challenges, but also to chronic opioid medication regimens, opioid misuse, and opioid addiction. Responses to drug use are in the opposite direction to the drug’s effects, and are known as opponent process. These are attempts made to restore homeostasis, and such opponent processes begin with the first dose. An allostatic state is proposed to arise over time as greater opponent process responses are needed in the attempt to restore homeostasis in the face of an opioid challenge to the brain, but actually drive allostasis, a change in pain set point.9,17–19 (Fig. 1) It is well established that neuroadaptive responses to drugs are drug-opposite effects, and this is true for many drugs, not only opioids.20,21 What is less well understood is that such adaptation is at the root of drug tolerance. While molecular desensitization processes do arise, they are relatively easy to dismiss as not interfering with drug use because they are direct chemical responses that can be overcome relatively quickly by dose escalation or discontinuation.22,23 Allostatic opponent process adaptations, in contrast, develop and increase steadily over time, have significant learning and cue-related components, and cannot easily be overcome by dose escalation or discontinuation.24–27 Indeed, such opponent process adaptations are exacerbated by dose escalation.
Fig. 1.

Allostatic change in emotional state associated with transition to drug addiction. Diagram illustrating an extension of Solomon and Corbi’s (1974) opponent-process model of motivation to incorporate the conceptual framework of this paper. Both panels represent the affective response to the presentation of a drug. This diagram represents the initial experience of a drug with no prior drug history, and the a-process represents a positive hedonic or positive mood state, and the b-process represents the negative hedonic of negative mood state. The hedonic state has been argued to be a sum of both an a-process and a b-process. An individual who experiences a positive hedonic mood state from a drug of addiction with sufficient time between re-administering the drug is hypothesized to retain the a-process. In other words, an appropriate counter adaptive opponent-process (b-process) that balances the activational process (a-process) does not lead to an allostatic state. (Bottom) The changes in the hedonic state in an individual with repeated frequent drug use are illustrated that may represent a transition to an allostatic state in the brain reward and stress systems and, by extrapolation, a transition to addiction (see text). Note that the apparent b-process never returns to the original homeostatic level before drug-taking begins again, thus creating a greater and greater allostatic state in the brain reward system. In other words, here the counter adaptive opponent-process (b-process) does not balance the activational process (a- process) but in fact shows a residual hysteresis. While these changes are exaggerated and condensed over time in the present conceptualization, the hypothesis here is that even during post-detoxification, a period of “protracted withdrawal,” the reward and stress systems are still bearing allostatic changes. The following definitions apply: allostasis, the process of achieving stability through change; allostatic state, a state of chronic deviation of the regulatory system from its normal (homeostatic) operating level; allostatic load, the cost to the brain and body of the deviation, accumulating over time, and reflecting in many pathological states and accumulation of damage. The weights illustrated hanging from the figure illustrate allostatic loads but there is not specific temporal sequence by which epigenetics, trauma, psychiatry comorbidity and opioid misuse impact the development of allostasis.
Adapted from: Sterling P and Eyer J, Allostasis: a new paradigm to explain arousal pathology. In Fisher S and Reason J (eds), Handbook of Life Stress, Cognition and Health, John Wiley, New York, 1988, pp. 629–647 and Koob GF and Le Moal M, Neuropsychopharmacology, 2001, 24:97–129.
Opponent process as the driving force of tolerance
Many theorists have proposed that opponent process is the main driving force of tolerance.24,25,28–30 Opponent process theory proposes that drug administration sets in motion adaptations that are opposite to the drug’s effects and maintain homeostasis until the drug is withdrawn. Such responses can be conceived as negative emotional responses resulting in an aversive state. This aversive state results in hyperalgesia and hyperkatifeia which incorporates the increased pain, reward deficiency, and altered stress responses that are seen as arising in the withdrawal/negative affect stage of the addiction cycle.15 Hyperkatifeia is defined as an increase in intensity of the constellation of negative emotional or motivational signs and symptoms of drug withdrawal such as anxiety, irritability and dyphoria.31–33 Hyperalgesia is also part of the spectrum of counteradaptive opponent processes. Multiple central nervous system mechanisms underlie opponent process and its manifestation as hyperalgesia and hyperkatifeia. Early and reversible mechanisms include a surge in stress hormones and brain stress systems (glucocorticoids,corticotropin releasing factor, and dynorphin) contributing to both hyperkatifeia and hyperalgesia, while central sensitization (increased glutamate at the N-methyl-D-aspartate receptor, upregulation of cyclic adenosine monophosphate and voltage gated calcium channels) contributes prominently to hyperalgesia.34–38 Over time, as protracted tolerance develops, opponent process shifts into brain regions that mediate both emotional and physical pain such as the nucleus accumbens, amygdala, insula and cingulate, and its mechanisms tend to account for both hyperkatifeia and hyperalgesia. Such mechanisms include dopamine depletion, brain stress neurotransmitter activation, and neuroinflammation.31,39 Anti-stress system failure is also important, especially as it contributes to hyperkatifeia.
Drug-opposite withdrawal effects return to baseline relatively rapidly after only a few administrations, but after many administrations, homeostasis can only be restored by cessation of opioid use, and withdrawal recovery slows. With still more time, the negative hedonic response persists even while the drug is on board and may persist long after the drug is discontinued.24 There is thus a shift in the hedonic set point, which becomes an allostatic load and drives an aversive (negative) state or allostatic state. (Fig. 2) Hyperalgesia and hyperkatifeia are thus the drivers of negative reinforcement which becomes an important additional source of motivation for continued pain relief and ultimately compulsive drug use.18,40,41 Acumulating evidence from animals and humans indicates that even as opioid administration produces analgesia, it concurrently sets into motion certain anti-analgesic or hyperalgesic processes.11,42 Significant evidence shows that during chronic opioid use, counteradaptation and associated hyperalgesia cannot be explained by waning drug levels since they occur at even at maximal drug concentrations.19,43 Thus, a hyperalgesic state is created that drives opioid taking even while continuing drug use. The traditional response to deterioration of the analgesic efficacy of opioids if attributed to tolerance was to assume one could correct this with dose escalation. But since dose escalations will strengthen counteradaptation, one must now ask if dose escalation is the right response to opioid analgesic deterioration.44
Fig. 2.

Opponent Processes from Acute Drug Administration and Acute Withdrawal to Chronic Drug Withdrawal to Sign Reversal (panels A-C) In opponent process theory, many affective control mechanisms in the brain are hypothesized to act as an emotional stabilization system that keeps mood in homeostatic balance. Under this framework use of a rewarding drug (opioid) initially initiates a positive hedonic effect termed the “a process”. This signal triggers an opposing effect termed the “b process”. Panel A represents comparisons of the effects of b processes for initial opioid taking (relatively novel unconditioned stimuli). Panel B represents drug taking that has been frequently repeated to the point of the development of tolerance and dependence (unconditioned stimuli that have been frequently repeated). Panel C represents drug taking that has been repeated sufficiently to produce a sign reversal (drug opposite effects that have motivational processes even while actively taking the drug). The middle trace shows the underlying affective (hedonic) signals of the a process and b process. The top trace shows the a process minus the b process. The strengthening of the b process is assumed to shorten the b process latency, increase its asymptotic value, and lengthen its decay time (panel B). A negative hedonic response eventually develops not only post drug but also during the period when the drug is on board (panel C). Allostasis theory in opioid tolerance. Pain 2021;162:2315–2319. An opponent-process theory of motivation: I. Temporal dynamics of affect. Psychol Rev 1974;18:119–145. A homeostatic and redundancy theory of tolerance to and dependence on narcotic analgesics. In: Wikler A, The Addictive States (series title: Its Research Publications, vol. 46, Williams and Wilkins, Baltimore, 1968, pp 206–225).
(a) With permission from: Ballantyne JC, Koob GF. (b) Figure modified from Solomon RL and Corbit JD. (c) Adapted from Figure XVI.3 Martin, W.R.
Learning and tolerance
In this context, learning in general has long been hypothesized to contribute to the development of tolerance and withdrawal to opioids.45, 46 Extensive preclinical work by Siegel and colleagues demonstrated a key role for Pavlovian conditioning in the development of opioid tolerance that is of clinical relevance.47,48 More specifically, opioid administration was hypothesized to produce disturbances in the body, manifested as analgesic and anti-anxiety effects that occur presumably largely via the brain. Here, the initial drug effects constitute unconditioned stimuli (the a process), which come to elicit what are termed unconditioned responses (the b process) that are opposite to effects of the drug and are an attempt to compensate for the perturbation that is produced by the drug. (Fig. 2) In the case of opioids, conditioned compensatory responses (CCRs) come to be elicited by drug-associated cues through classical conditioning (Pavlovian conditioning process) and thus are also opposite in direction to unconditioned effects of a drug.47,49 As such, CCRs can contribute to tolerance in the presence of drug and withdrawal in the absence of drug.25,48 The conditioning of such drug-opposite effects has direct relevance to opioid overdoses, in which changes in the context of drug taking (changes in CCRs) may reduce, even abolish, tolerance and thus heighten the risk of overdose as shown in both animal and human studies.47,50–53 For example, in case report studies, patients who received opioids for pain relief also have been shown to be at risk of overdose when the route of administration or context changes.47,50,51,54–56 Indeed, opioid overdose has been argued to represent not so much an overdose per se but rather a “failure of tolerance”.57,58
The conditioning of drug-opposite effects also has relevance to the status of patients who receive opioids for the treatment of chronic pain, particularly when using extended-release opioids, which are stipulated to be given round-the-clock thus facilitating neuroadaptation. Indeed, dosing in intervals sufficient to reverse opponent processes is hypothesized to be protective against the development of dependence.59 While opioid overdose is a finite and measurable consequence of cue-related changes in tolerance, it is likely that opponent process adaptation to continuously administered drug results in less obvious and less easily measured withdrawal symptoms such as hyperalgesia and hyperkatifeia, which may be constantly subject to cue-related changes in tolerance.60–62 However, in the case of the symptom of pain, evidence shows that withdrawal-like hyperalgesia persists throughout opioid analgesia treatment.11,39,42 The same is true for hyperkatifeia which becomes dramatically manifest during withdrawal from continuously administered opioid. Thus, it is clear that tolerance and withdrawal are susceptible to conditioning, learning, and cue-related changes, placing withdrawal on a conceptual knife-edge where fear of withdrawal (learning) strongly motivates continued opioid use.63–65
Conclusion
In summary, there is no free ride in the brain in the context of continuous opioid treatment of pain.66 Attempts to reverse pain with opioid medications ultimately backfire when tolerance develops. Tolerance is a normal attempt of the brain to restore homeostasis via opponent processes. Such opponent processes include down regulation of reward system activity (including endogenous opioid systems) and increased activity of brain stress system activity, both resulting in the sensitization of emotional pain (hyperkatifeia) and pain systems (hyperalgesia) that perpetuate an allostatic break with homeostasis. Such opponent processes also condition to the environment, and such conditioned responses further contribute to the allostatic state that produces tolerance and perpetuates drug seeking. Recognition of the profound role of opponent processes, conditioning, and tolerance have recently been raised in a number of diverse pathological contexts, but achieving acceptance by the medical community of the clinical implications of this tolerance remains a challenge.33,58,61,67
Most importantly, what does an opponent process/allostasis understanding of tolerance mean when it comes to the medical management of pain? Opioids remain indispensable for the treatment of severe acute pain and pain at the end of life. But treating chronic pain with opioids is different: prolonged continuous opioid use will be met by counteradaptation and futility as pain breaks through because of tolerance. Traditional teaching is that tolerance and withdrawal will not interfere with successful analgesia, and this remains the teaching in multiple textbooks and other educational resources. But this teaching is based on what happens with short-term use. Opponent process effects come to dominate with longer use and higher doses, which provides the conceptual basis for stating that the reason long-term opioids are rarely effective or safe is precisely because of counter regulation (tolerance). Tolerance and its associated withdrawal get in the way of analgesic efficacy and safety. Dose escalation, while possibly achieving a burst of pain relief, worsens this tolerance and ultimately worsens pain relief.67 Because of conditioning, changes in tolerance and symptoms of withdrawal can be triggered at any time and are not simply a consequence of dose reduction. Instead of the bliss of pain relief, chronic administration of opioids often becomes the torture of always being on the brink of not enough. While the clinical relevance of opioid induced hyperalgesia (OIH) per se may be debated,68–70 OIH cannot be unpacked from hyperkatifeia which is of clear clinical significance and an important driver of continued opioid use despite poor therapeutic benefit.32,71 For many patients who already use opioid analgesics, slow tapering or a switch to buprenorphine can improve both pain and mood. The old dictum of dose escalation to overcome inadequate analgesia must be abandoned other than in acute or other short-term usage settings, such as end-of-life. Advances in our understanding of the biology and neurobiology of counteradaptation and learning in chronic opioid analgesic treatment are greatly needed to allow more informed methods for avoiding or alleviating the pervasive debilitating dependence that is the consequence of chronic opioid use. In addition, perhaps the gap in clinical research could be filled by assessing whether dosing regimens that avoid dose escalation, for example stable-dose pain-contingent regimens, are capable of reducing the tolerance and dependence which tend to develop when using continuous dose regimens.72
Footnotes
Declaration of Competing Interest
Disclosure: Neither author has any financial conflict of interest. Jane Ballantyne is a member of Physicians for Responsible Opioid Prescribing (PROP), a voluntary unpaid position in a 501c3 charitable organization. PROP advocates for rational opioid prescribing. There has been no use of AI in the preparation of this manuscript.
References
- 1.Savage S, Covington EC, Ehit HA, Hunt J, Joranson D, Schnoll SH. Definitions related to the use of opioids for the treatment of pain. A consensus document from the American academy of pain medicine, the American pain society and the American society of addiction medicine. WMJ. 2001;100(5):28–29. PMID: 1157997. [Google Scholar]
- 2.Cancer Pain Relief. World Health Organization Expert Committee on Cancer Pain Relief and Active Supportive Care 1986. Accessed May 8th 2026. chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://iris.who.int/server/api/core/bitstreams/d1dda41f-a909-4875-9a94-707cfb308267/content.
- 3.Brennan F, Carr DB, Cousins M. Pain management: a fundamental human right (In eng). DOI: 105/1/205 [pii] Anesth Analg. 2007;105(1):205–221. 10.1213/01.ane.0000268145.52345.55. [DOI] [PubMed] [Google Scholar]
- 4.Ballantyne JC. Breakthrough pain: just pain? Pain. 2016;157(12):2621–2622. 10.1097/j.pain.0000000000000684. [DOI] [PubMed] [Google Scholar]
- 5.Portenoy RK, Hagen NA. Breakthrough pain: definition, prevalence and characteristics. Pain. 1990;41(3):273–281 (In eng). [DOI] [PubMed] [Google Scholar]
- 6.Mercadante S, Lazzari M, Reale C, et al. Italian Oncological Pain Survey (IOPS): a multicentre Italian study of breakthrough pain performed in different settings (In eng) Clin J Pain. 2015;31(3):214–221. 10.1097/ajp.0000000000000161. [DOI] [PubMed] [Google Scholar]
- 7.Mercadante S, Portenoy RK. Breakthrough cancer pain: twenty-five years of study (In eng) Pain. 2016;157(12):2657–2663. 10.1097/j.pain.0000000000000721. [DOI] [PubMed] [Google Scholar]
- 8.Sullivan MD, Howe CQ. Opioid therapy for chronic pain in the United States: promises and perils. Pain. 2013;154(1):S94–S100. 10.1016/j.pain.2013.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Ballantyne JC, Koob GF. Allostasis theory in opioid tolerance. Pain. 2021;162(9): 2315–2319. 10.1097/j.pain.0000000000002280. [DOI] [PubMed] [Google Scholar]
- 10.Ballantyne JC, Sullivan MD, Saxon AJ. Challenging the utility of DSM-5 opioid use disorder criteria for diagnosing problematic prescription opioid use: next steps. J Addict Med. 2025. 10.1097/ADM.0000000000001526. [DOI] [PubMed] [Google Scholar]
- 11.Ossipov MH, Lai J, King T, Vanderah TW, Porreca F. Underlying mechanisms of pronociceptive consequences of prolonged morphine exposure. Biopolymers. 2005; 80(2–3):319–324. 10.1002/bip.20254. [DOI] [PubMed] [Google Scholar]
- 12.Sterling P, Eyer J. Allostasis: a new paradigm to explain arousal pathology. In: Fisher S, Reason J, eds. Chichester: Cognition and Health John Wiley; 1988: 629–649. Handbook of Life Stress. [Google Scholar]
- 13.Ozdemir D, Allain F, Kieffer BL, Darcq E. Advances in the characterization of negative affect caused by acute and protracted opioid withdrawal using animal models. Neuropharmacology. 2023;232, 109524. 10.1016/j.neuropharm.2023.109524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Satel SL, Kosten TR, Schuckit MA, Fischman MW. Should protracted withdrawal from drugs be included in DSM-IV? Am J Psychiatry. 1993;150(5):695–704. 10.1176/ajp.150.5.695. [DOI] [PubMed] [Google Scholar]
- 15.Ballantyne JC, Sullivan MD, Koob GF. Refractory dependence on opioid analgesics. Pain. 2019;160(2):2655–2660. 10.1097/j.pain.0000000000001680. [DOI] [PubMed] [Google Scholar]
- 16.Han B, Jones CM, Einstein EB, Dowell D, Compton WM. Prescription opioid use disorder among adults reporting prescription opioid use with or without misuse in the United States. J Clin Psychiatry. 2024;85(3). 10.4088/JCP.24m15258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Koob GF, Le Moal M. Drug addiction, dysregulation of reward, and allostasis. Neuropharm. 2001;24:97–129. [DOI] [PubMed] [Google Scholar]
- 18.Koob GF, Schulkin J. Addiction and stress: an allostatic view. Neurosci Biobehav Rev. 2019;106:245–262. 10.1016/j.neubiorev.2018.09.008. [DOI] [PubMed] [Google Scholar]
- 19.Ramsay DS, Woods SC. Clarifying the roles of homeostasis and allostasis in physiological regulation. Psychol Rev. 2014;121(2):225–247. 10.1037/a0035942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Siegel S, Hinson RE, Krank MD. The role of predrug signals in morphine analgesic tolerance: support for a Pavlovian conditioning model of tolerance. J Exp Psychol Anim Behav Process. 1978;4(2):188–196. 10.1037//0097-7403.4.2.188. [DOI] [PubMed] [Google Scholar]
- 21.Wikler A Conditioning of successive adaptive responses to the initial effects of drugs. Cond Reflex. 1973;8(4):193–210. 10.1007/BF03000676. [DOI] [PubMed] [Google Scholar]
- 22.Taylor DA, Fleming WW. Unifying perspectives of the mechanisms underlying the development of tolerance and physicial dependence to opioids. J Pharmacol Exp Ther. 2001;297:11–18. [PubMed] [Google Scholar]
- 23.Williams J, Christie M, Manzoni O. Cellular and synaptic adaptations mediating opioid dependence. Physiol Rev. 2001;81(1):299–343 (11152760). [DOI] [PubMed] [Google Scholar]
- 24.Solomon RL, Corbit JD. An opponent-process theory of motivation. I. Temporal dynamics of affect. Psychol Rev. 1974;81(2):119–145. https://www.ncbi.nlm.nih.gov/pubmed/4817611. [DOI] [PubMed] [Google Scholar]
- 25.Ramsay DS, Woods SC. Biological consequences of drug administration: implications for acute and chronic tolerance. Psychol Rev. 1997;104(1):170–193. 10.1037/0033-295x.104.1.170. [DOI] [PubMed] [Google Scholar]
- 26.Siegel S. Learning and the wisdom of the body. Learn Behav. 2008;36(3):242–252. 10.3758/lb.36.3.242. [DOI] [PubMed] [Google Scholar]
- 27.Gardell LR, King T, Ossipov MH, et al. Opioid receptor-mediated hyperalgesia and antinociceptive tolerance induced by sustained opiate delivery. Neurosci Lett. 2006; 396(1):44–49. 10.1016/j.neulet.2005.11.009. [DOI] [PubMed] [Google Scholar]
- 28.Bederson JB, Fields HL, Barbaro NM. Hyperalgesia during naloxone-precipitated withdrawal from morphine is associated with increased on-cell activity in the rostral ventromedial medulla (In eng) Somatosens Mot Res. 1990;7(2):185–203. 10.3109/08990229009144706. [DOI] [PubMed] [Google Scholar]
- 29.Colpaert FC, Fregnac Y. Paradoxical signal transduction in neurobiological systems. Mol Neurobiol. 2001;24(1–3):145–168. 10.1385/MN:24:1-3:145. [DOI] [PubMed] [Google Scholar]
- 30.Martin WR. A homeostatic and redundancy theory of tolerance to and depeendence on narcotic analgesics. In: Wikler A, ed. Baltimore: WIlliams and Wilkins; 1968: 206–225. The Addictive States (series title: Its Research Publications); 46. [PubMed] [Google Scholar]
- 31.Shurman J, Koob GF, Gutstein HB. Opioids, pain, the brain, and hyperkatifeia: a framework for the rational use of opioids for pain. Pain Med. 2010;11(7):1092–1098. 10.1111/j.1526-4637.2010.00881.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Koob GF. Drug addiction: hyperkatifeia/negative reinforcement as a framework for medications development. Pharmacol Rev. 2021;73(1):163–201. 10.1124/pharmrev.120.000083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Koob GF. Neurobiology of opioid addiction: opponent process, hyperkatifeia, and negative reinforcement. Biol Psychiatry. 2020;87(1):44–53. 10.1016/j.biopsych.2019.05.023. [DOI] [PubMed] [Google Scholar]
- 34.Chu LF, Angst MS, Clark D. Opioid-induced hyperalgesia in humans: molecular mechanisms and clinical considerations (In eng) Clin J Pain. 2008;24(6):479–496. 10.1097/AJP.0b013e31816b2f43. [DOI] [PubMed] [Google Scholar]
- 35.Vanderah TW, Ossipov MH, Lai J, Malan TPJ, Porreca F. Mechanisms of opioid-induced pain and antinociceptive tolerance: descending facilitation and spinal dynorphin. Pain. 2001;92(1–2):5–9 (11323121). [DOI] [PubMed] [Google Scholar]
- 36.Vanderah TW, Gardell LR, Burgess SE, et al. Dynorphin promotes abnormal pain and spinal opioid antinociceptive tolerance. J Neurosci. 2000;20(18):7074–7079. 10.1523/JNEUROSCI.20-18-07074.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Ingram SL. Toward understanding the opioid paradox: cellular mechanisms of opioid-induced hyperalgesia. Neuropsychopharmacology. 2022;47(2):427–428. 10.1038/s41386-021-01215-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Marchette RCN, Vendruscolo LF, Koob GF. The dynorphin/-opioid receptor system at the interface of hyperalgesia/hyperkatifeia and addiction. Curr Addict Rep. 2025; 12(1):11. 10.1007/s40429-025-00618-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Borsook D, Youssef AM, Simons L, Elman I, Eccleston C. When pain gets stuck: the evolution of pain chronification and treatment resistance. Pain. 2018;159(12):2421–2436. 10.1097/j.pain.0000000000001401. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Koob GF, Le Moal M. Drug abuse: hedonic homeostatic dysregulation. Science. 1997;278:52–58. [DOI] [PubMed] [Google Scholar]
- 41.Koob GF, Le Moal M. Plasticity of reward neurocircuitry and the 'dark side' of drug addiction. Nat Neurosci. 2005;8(11):1442–1444. 10.1038/nn1105-1442. [DOI] [PubMed] [Google Scholar]
- 42.Celerier E, Laulin J, Larcher A, Le Moal M, Simonnet G. Evidence for opiate-activated NMDA processes masking opiate analgesia in rats. Brain Res. 1999;847(1):18–25. http://www.ncbi.nlm.nih.gov/pubmed/10564731. [DOI] [PubMed] [Google Scholar]
- 43.Ramsay DS, Woods SC, Kaiyala KJ. Drug-induced regulatory overcompensation has motivational consequences: implications for homeostatic and allostatic models of drug addiction. Temp (Austin). 2014;1(3):248–256. 10.4161/23328940.2014.944802. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Bruins Slot LA, Pauwels PJ, Colpaert FC. Sign-reversal during persistent activation in mu-opioid signal transduction. J Theor Biol. 2002;215(2):169–182. 10.1006/jtbi.2001.2509. [DOI] [PubMed] [Google Scholar]
- 45.Cochin J Possible mechanisms in development of tolerance. Fed Proc. 1970;29(1):19–27. https://www.ncbi.nlm.nih.gov/pubmed/4905417. [PubMed] [Google Scholar]
- 46.O'Brien CP, Testa T, O'Brien TJ, Brady JP, Wells B. Conditioned narcotic withdrawal in humans. Science. 1977;195(4282):1000–1002. 10.1126/science.841320. [DOI] [PubMed] [Google Scholar]
- 47.Siegel S, Ramos BM. Applying laboratory research: drug anticipation and the treatment of drug addiction. Exp Clin Psychopharmacol. 2002;10(3):162–183. 10.1037//1064-1297.10.3.162. [DOI] [PubMed] [Google Scholar]
- 48.Ehrman R, Ternes J, O'Brien CP, McLellan AT. Conditioned tolerance in human opiate addicts. Psychopharmacol (Berl). 1992;108(1–2):218–224. 10.1007/BF02245311. [DOI] [PubMed] [Google Scholar]
- 49.Siegel S Evidence from rats that morphine tolerance is a learned response. J Comp Physiol Psychol. 1975;89(5):498–506. 10.1037/h0077058. [DOI] [PubMed] [Google Scholar]
- 50.Siegel S, Kim JA. Absence of cross-tolerance and the situational specificity of tolerance. Palliat Med. 2000;14(1):75–77. 10.1177/026921630001400115. [DOI] [PubMed] [Google Scholar]
- 51.Siegel S, Hinson RE, Krank MD, McCully J. Heroin “overdose” death: contribution of drug-associated environmental cues. Science. 1982;216(4544):436–437. 10.1126/science.7200260. [DOI] [PubMed] [Google Scholar]
- 52.Siegel S Pavlovian conditioning and heroin overdose: reports from overdose victims. Bull Psychon Soc. 1984;22(5):428–430. [Google Scholar]
- 53.Gerevich J, Bacskai E, Farkas L, Danics Z. A case report: pavlovian conditioning as a risk factor of heroin 'overdose' death. Harm Reduct J. 2005;2:11. 10.1186/1477-7517-2-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Johnson S, Faull C. The absence of 'cross-tolerance' when switching from oral morphine to transdermal fentanyl. Palliat Med. 1997;11(6):494–495. https://www.ncbi.nlm.nih.gov/pubmed/9519176. [PubMed] [Google Scholar]
- 55.Siegel S, Ellsworth DW. Pavlovian conditioning and death from apparent overdose of medically prescribed morphine: a case report. Bull Psychon Soc. 1986;24:278–280. [Google Scholar]
- 56.Kim JA, Siegel S, Patenall VR. Drug-onset cues as signals: intraadministration associations and tolerance. J Exp Psychol Anim Behav Process. 1999;25(4):491–504. https://www.ncbi.nlm.nih.gov/pubmed/10531660. [PubMed] [Google Scholar]
- 57.Siegel S Pavlovian conditioning and drug overdose: when tolerance fails. Addict Res Theory. 2001;9:503–513. [Google Scholar]
- 58.Farahbakhsh ZZ, Siciliano CA. Pavlovian-conditioned opioid tolerance. Sci Adv. 2023;9(6), eadg6086. 10.1126/sciadv.adg6086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Kirby KC, Stitzer ML. Opioid physical dependence development in humans: effect of time between agonist pretreatments. Psychopharmacol (Berl). 1993;112(4):511–517. 10.1007/BF02244902. [DOI] [PubMed] [Google Scholar]
- 60.Krank MD, Hinson RE, Siegel S. Conditional hyperalgesia is elicited by environmental signals of morphine. Behav Neural Biol. 1981;32(2):148–157. 10.1016/s0163-1047(81)90411-8. [DOI] [PubMed] [Google Scholar]
- 61.Pantazis CB, Gonzalez LA, Tunstall BJ, Carmack SA, Koob GF, Vendruscolo LF. Cues conditioned to withdrawal and negative reinforcement: neglected but key motivational elements driving opioid addiction. Sci Adv. 2021;7(15). 10.1126/sciadv.abf0364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Siegel S, Baptista MA, Kim JA, McDonald RV, Weise-Kelly L. Pavlovian psychopharmacology: the associative basis of tolerance. Exp Clin Psychopharmacol. 2000;8(3):276–293. 10.1037//1064-1297.8.3.276. [DOI] [PubMed] [Google Scholar]
- 63.Schepis TS, Wastila L, Ammerman B, McCabe VV, McCabe SE. Prescription opioid misuse motives in US older adults. Pain Med. 2020;21(10):2237–2243. 10.1093/pm/pnz304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Stein MD, Conti MT, Herman DS, et al. Worries about discontinuing buprenorphine treatment: scale development and clinical correlates. Am J Addict. 2019;28(4):270–276. 10.1111/ajad.12884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Bentzley BS, Barth KS, Back SE, Aronson G, Book SW. Patient perspectives associated with intended duration of buprenorphine maintenance therapy. J Subst Abus Treat. 2015;56:48–53. 10.1016/j.jsat.2015.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Ballantyne JC, Koob GF. Why opioids stop working for pain: no free ride in the brain. Ann Intern Med. 2025. 10.7326/ANNALS-25-03630. [DOI] [PubMed] [Google Scholar]
- 67.Morasco BJ, Yarborough BJ, Smith NX, et al. Higher prescription opioid dose is associated with worse patient-reported pain outcomes and more health care utilization. J Pain. 2017;18(4):437–445. 10.1016/j.jpain.2016.12.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Svensson CK. Opioid-induced hyperalgesia: is it a clinically relevant phenomenon? Int J Pharm Pract. 2022;30(5):479–483. 10.1093/ijpp/riac031. [DOI] [PubMed] [Google Scholar]
- 69.Mao J Opioid induced abnormal pain sensitivity: implications in clinical opioid therapy. Pain. 2002;100:213–217. [DOI] [PubMed] [Google Scholar]
- 70.Trostheim M, Eikemo M. Hyperalgesia in patients with a history of opioid use disorder: a systematic review and meta-analysis. JAMA Psychiatry. 2024;81(11):1108–1117. 10.1001/jamapsychiatry.2024.2176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Carcoba LM, Contreras AE, Cepeda-Benito A, Meagher MW. Negative affect heightens opiate withdrawal-induced hyperalgesia in heroin dependent individuals. J Addict Dis. 2011;30(3):258–270. 10.1080/10550887.2011.581985. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Von Korff M, Merrill JO, Rutter CM, Sullivan M, Campbell CI, Weisner C. Time-scheduled vs. pain-contingent opioid dosing in chronic opioid therapy (In eng) Pain. 2011;152(6):1256–1262. 10.1016/j.pain.2011.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
