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Opioid receptors: drivers to addiction?

Abstract

Drug addiction is a worldwide societal problem and public health burden, and results from recreational drug use that develops into a complex brain disorder. The opioid system, one of the first discovered neuropeptide systems in the history of neuroscience, is central to addiction. Recently, opioid receptors have been propelled back on stage by the rising opioid epidemics, revolutions in G protein-coupled receptor research and fascinating developments in basic neuroscience. This Review discusses rapidly advancing research into the role of opioid receptors in addiction, and addresses the key questions of whether we can kill pain without addiction using mu-opioid-receptor-targeting opiates, how mu- and kappa-opioid receptors operate within the neurocircuitry of addiction and whether we can bridge human and animal opioid research in the field of drug abuse.

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Fig. 1: Opioid receptor structure and signalling.
Fig. 2: Opioid receptors in physiology and addiction.

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References

  1. Brownstein, M. J. A brief history of opiates, opioid peptides, and opioid receptors. Proc. Natl Acad. Sci. USA 90, 5391–5393 (1993).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  2. World Health Organization. Curbing prescription opioid dependency. WHO http://www.who.int/bulletin/volumes/95/5/17-020517/en/ (2017).

  3. Kolodny, A. et al. The prescription opioid and heroin crisis: a public health approach to an epidemic of addiction. Annu. Rev. Publ. Health 36, 559–574 (2015).

    Article  Google Scholar 

  4. Volkow, N. D. & McLellan, A. T. Opioid abuse in chronic pain — misconceptions and mitigation strategies. N. Engl. J. Med. 374, 1253–1263 (2016).

    Article  PubMed  CAS  Google Scholar 

  5. Voon, P., Karamouzian, M. & Kerr, T. Chronic pain and opioid misuse: a review of reviews. Subst. Abuse Treat. Prev. Policy 12, 36 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  6. Compton, W. M., Jones, C. M. & Baldwin, G. T. Relationship between nonmedical prescription-opioid use and heroin use. N. Engl. J. Med. 374, 154–163 (2016).

    Article  PubMed  CAS  Google Scholar 

  7. Suzuki, J. & El-Haddad, S. A review: fentanyl and non-pharmaceutical fentanyls. Drug Alcohol Depend. 171, 107–116 (2017).

    Article  PubMed  CAS  Google Scholar 

  8. Al-Hasani, R. & Bruchas, M. R. Molecular mechanisms of opioid receptor-dependent signaling and behavior. Anesthesiology 115, 1363–1381 (2011).

    PubMed  CAS  Google Scholar 

  9. Bodnar, R. J. Endogenous opiates and behavior: 2015. Peptides 88, 126–188 (2017).

    Article  PubMed  CAS  Google Scholar 

  10. Kieffer, B. L. & Gaveriaux-Ruff, C. Exploring the opioid system by gene knockout. Prog. Neurobiol. 66, 285–306 (2002).

    Article  PubMed  CAS  Google Scholar 

  11. Charbogne, P., Kieffer, B. L. & Befort, K. 15 years of genetic approaches in vivo for addiction research: opioid receptor and peptide gene knockout in mouse models of drug abuse. Neuropharmacology 76, 204–217 (2014).

    Article  PubMed  CAS  Google Scholar 

  12. Matthes, H. W. et al. Loss of morphine-induced analgesia, reward effect and withdrawal symptoms in mice lacking the mu-opioid-receptor gene. Nature 383, 819–823 (1996). This is a genetic demonstration that both therapeutic and unwanted morphine effects are mediated by a single receptor protein (MOR).

    Article  PubMed  CAS  Google Scholar 

  13. Filliol, D. et al. Mice deficient for delta- and mu-opioid receptors exhibit opposing alterations of emotional responses. Nat. Genet. 25, 195–200 (2000).

    Article  PubMed  CAS  Google Scholar 

  14. Pradhan, A. A., Befort, K., Nozaki, C., Gaveriaux-Ruff, C. & Kieffer, B. L. The delta opioid receptor: an evolving target for the treatment of brain disorders. Trends Pharmacol. Sci. 32, 581–590 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Chu Sin Chung, P. & Kieffer, B. L. Delta opioid receptors in brain function and diseases. Pharmacol. Ther. 140, 112–120 (2013).

    Article  PubMed  CAS  Google Scholar 

  16. Spahn, V. & Stein, C. Targeting delta opioid receptors for pain treatment: drugs in phase I and II clinical development. Expert Opin. Investig. Drugs 26, 155–160 (2017).

    Article  PubMed  CAS  Google Scholar 

  17. Pfeiffer, A., Brantl, V., Herz, A. & Emrich, H. M. Psychotomimesis mediated by kappa opiate receptors. Science 233, 774–776 (1986).

    Article  PubMed  CAS  Google Scholar 

  18. Tejeda, H. A., Shippenberg, T. S. & Henriksson, R. The dynorphin/kappa-opioid receptor system and its role in psychiatric disorders. Cell. Mol. Life Sci. 69, 857–896 (2012).

    Article  PubMed  CAS  Google Scholar 

  19. Koob, G. F. The dark side of emotion: the addiction perspective. Eur. J. Pharmacol. 753, 73–87 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Kobilka, B. The structural basis of G-protein-coupled receptor signaling (Nobel Lecture). Angew. Chem. Int. Ed Engl. 52, 6380–6388 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Audet, M. & Bouvier, M. Restructuring G-protein- coupled receptor activation. Cell 151, 14–23 (2012).

    Article  PubMed  CAS  Google Scholar 

  22. Manglik, A. et al. Crystal structure of the micro-opioid receptor bound to a morphinan antagonist. Nature 485, 321–326 (2012). This study reports the atomic structure of the MOR solved by X-ray crystallography and is published back to back with the first atomic structures of the three other opioid and opioid-like receptors, all bound to antagonists.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Granier, S. et al. Structure of the delta-opioid receptor bound to naltrindole. Nature 485, 400–404 (2012). This study reports the atomic structure of the DOR solved by X-ray crystallography and is published back to back with the first atomic structures of the three other opioid and opioid-like receptors, all bound to antagonists.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Wu, H. et al. Structure of the human kappa-opioid receptor in complex with JDTic. Nature 485, 327–332 (2012). This study reports the atomic structure of the KOR solved by X-ray crystallography and is published back to back with the first atomic structures of the three other opioid and opioid-like receptors, all bound to antagonists.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  25. Thompson, A. A. et al. Structure of the nociceptin/orphanin FQ receptor in complex with a peptide mimetic. Nature 485, 395–399 (2012). This study reports the atomic structure of the NOR solved by X-ray crystallography and is published back to back with the first atomic structures of the three other opioid and opioid-like receptors, all bound to antagonists.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Manglik, A. et al. Structure-based discovery of opioid analgesics with reduced side effects. Nature 537, 185–190 (2016). This study reports computational screening based on the MOR structure, allowing the discovery of novel agonist chemotypes unrelated to known opioids and leading to a G i -biased drug with unusual and promising biological properties towards safer analgesics.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Bradley, S. J. & Tobin, A. B. Design of next-generation G protein-coupled receptor drugs: linking novel pharmacology and in vivo animal models. Annu. Rev. Pharmacol. Toxicol. 56, 535–559 (2016).

    Article  PubMed  CAS  Google Scholar 

  28. Kim, C. K., Adhikari, A. & Deisseroth, K. Integration of optogenetics with complementary methodologies in systems neuroscience. Nat. Rev. Neurosci. 18, 222–235 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Van Essen, D. C. Cartography and connectomes. Neuron 80, 775–790 (2013).

    Article  PubMed  CAS  Google Scholar 

  30. Bruehl, S. et al. Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges. J. Pain 14, 103–113 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Luo, S. X. & Levin, F. R. Towards precision addiction treatment: new findings in co-morbid substance use and attention-deficit hyperactivity disorders. Curr. Psychiatry Rep. 19, 14 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Hu, H. Reward and aversion. Annu. Rev. Neurosci. 39, 297–324 (2016).

    Article  PubMed  CAS  Google Scholar 

  33. Borsook, D. et al. Reward-aversion circuitry in analgesia and pain: implications for psychiatric disorders. Eur. J. Pain 11, 7–20 (2007).

    Article  PubMed  Google Scholar 

  34. Mechling, A. E. et al. Deletion of the mu opioid receptor gene in mice reshapes the reward–aversion connectome. Proc. Natl Acad. Sci. USA 113, 11603–11608 (2016). This study analyses functional connectivity by non-invasive MRI in live mutant mice and reveals a fingerprint of Oprm1 activity over the whole brain, opening the way to connectome genetics in animal research.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  35. Navratilova, E., Atcherley, C. W. & Porreca, F. Brain circuits encoding reward from pain relief. Trends Neurosci. 38, 741–750 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Lutz, P. E. & Kieffer, B. L. The multiple facets of opioid receptor function: implications for addiction. Curr. Opin. Neurobiol. 23, 473–479 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Eisenberger, N. I. The pain of social disconnection: examining the shared neural underpinnings of physical and social pain. Nat. Rev. Neurosci. 13, 421–434 (2012).

    Article  PubMed  CAS  Google Scholar 

  38. Lutz, P. E. & Kieffer, B. L. Opioid receptors: distinct roles in mood disorders. Trends Neurosci. 36, 195–206 (2013).

    Article  PubMed  CAS  Google Scholar 

  39. Koob, G. F. & Volkow, N. D. Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry 3, 760–773 (2016). This seminal review summarizes current knowledge on animal addiction research, including conceptual frameworks, behavioural models, brain circuitry and neurobiology.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Koob, G. F. & Volkow, N. D. Neurocircuitry of addiction. Neuropsychopharmacology 35, 217–238 (2010).

    Article  PubMed  Google Scholar 

  41. Baler, R. D. & Volkow, N. D. Drug addiction: the neurobiology of disrupted self-control. Trends Mol. Med. 12, 559–566 (2006).

    Article  PubMed  CAS  Google Scholar 

  42. Belin, D., Belin-Rauscent, A., Murray, J. E. & Everitt, B. J. Addiction: failure of control over maladaptive incentive habits. Curr. Opin. Neurobiol. 23, 564–572 (2013).

    Article  PubMed  CAS  Google Scholar 

  43. Koob, G. F. et al. Addiction as a stress surfeit disorder. Neuropharmacology 76, 370–382 (2014).

    Article  PubMed  CAS  Google Scholar 

  44. Goeldner, C. et al. Impaired emotional-like behavior and serotonergic function during protracted abstinence from chronic morphine. Biol. Psychiatry 69, 236–244 (2011).

    Article  PubMed  CAS  Google Scholar 

  45. Chu Sin Chung, P. et al. A novel anxiogenic role for the delta opioid receptor expressed in GABAergic forebrain neurons. Biol. Psychiatry 77, 404–415 (2015).

    Article  PubMed  CAS  Google Scholar 

  46. Contet, C., Kieffer, B. L. & Befort, K. Mu opioid receptor: a gateway to drug addiction. Curr. Opin. Neurobiol. 14, 370–378 (2004).

    Article  PubMed  CAS  Google Scholar 

  47. Badiani, A., Belin, D., Epstein, D., Calu, D. & Shaham, Y. Opiate versus psychostimulant addiction: the differences do matter. Nat. Rev. Neurosci. 12, 685–700 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Becker, J. A. J., Kieffer, B. L. & Le Merrer, J. Differential behavioral and molecular alterations upon protracted abstinence from cocaine versus morphine, nicotine, THC and alcohol. Addict. Biol. 22, 1205–1217 (2017).

    Article  PubMed  CAS  Google Scholar 

  49. Moles, A., Kieffer, B. L. & D’Amato, F. R. Deficit in attachment behavior in mice lacking the mu-opioid receptor gene. Science 304, 1983–1986 (2004). This study demonstrates, using a genetic approach, that the MOR is essential for social bonding very early on (in 4–8 day old pups), providing key evidence for a MOR contribution to process natural rewards and a strong premise to the rising interest in MOR function in the social brain.

    Article  PubMed  CAS  Google Scholar 

  50. Becker, J. A. et al. Autistic-like syndrome in mu opioid receptor null mice is relieved by facilitated mGluR4 activity. Neuropsychopharmacology 39, 2049–2060 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Papaleo, F., Kieffer, B. L., Tabarin, A. & Contarino, A. Decreased motivation to eat in mu-opioid receptor-deficient mice. Eur. J. Neurosci. 25, 3398–3405 (2007).

    Article  PubMed  Google Scholar 

  52. Skoubis, P. D., Matthes, H. W., Walwyn, W. M., Kieffer, B. L. & Maidment, N. T. Naloxone fails to produce conditioned place aversion in mu-opioid receptor knock-out mice. Neuroscience 106, 757–763 (2001).

    Article  PubMed  CAS  Google Scholar 

  53. Erbs, E. et al. A mu-delta opioid receptor brain atlas reveals neuronal co-occurrence in subcortical networks. Brain Struct. Funct. 220, 677–702 (2015).

    Article  PubMed  CAS  Google Scholar 

  54. Le Merrer, J., Becker, J. A., Befort, K. & Kieffer, B. L. Reward processing by the opioid system in the brain. Physiol. Rev. 89, 1379–1412 (2009).

    Article  PubMed  Google Scholar 

  55. Johnson, S. W. & North, R. A. Opioids excite dopamine neurons by hyperpolarization of local interneurons. J. Neurosci. 12, 483–488 (1992).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  56. Wise, R. A. & Rompre, P. P. Brain dopamine and reward. Annu. Rev. Psychol. 40, 191–225 (1989).

    Article  PubMed  CAS  Google Scholar 

  57. Fields, H. L. & Margolis, E. B. Understanding opioid reward. Trends Neurosci. 38, 217–225 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Cui, Y. et al. Targeted expression of mu-opioid receptors in a subset of striatal direct-pathway neurons restores opiate reward. Nat. Neurosci. 17, 254–261 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Charbogne, P. et al. Mu opioid receptors in gamma-aminobutyric acidergic forebrain neurons moderate motivation for heroin and palatable food. Biol. Psychiatry 81, 778–788 (2017).

    Article  PubMed  CAS  Google Scholar 

  60. Ettenberg, A., Pettit, H. O., Bloom, F. E. & Koob, G. F. Heroin and cocaine intravenous self-administration in rats: mediation by separate neural systems. Psychopharmacology 78, 204–209 (1982).

    Article  PubMed  CAS  Google Scholar 

  61. Hnasko, T. S., Sotak, B. N. & Palmiter, R. D. Morphine reward in dopamine-deficient mice. Nature 438, 854–857 (2005).

    Article  PubMed  CAS  Google Scholar 

  62. Laviolette, S. R. & van der Kooy, D. GABAA receptors signal bidirectional reward transmission from the ventral tegmental area to the tegmental pedunculopontine nucleus as a function of opiate state. Eur. J. Neurosci. 20, 2179–2187 (2004).

    Article  PubMed  Google Scholar 

  63. Narayanan, S. et al. Endogenous opioids mediate basal hedonic tone independent of dopamine D-1 or D-2 receptor activation. Neuroscience 124, 241–246 (2004).

    Article  PubMed  CAS  Google Scholar 

  64. Ben Hamida, S., Boulos, L. J., McNicholas, M., Charbogne, P. & Kieffer, B. L. Mu opioid receptors in GABAergic neurons of the forebrain promote alcohol reward and drinking. Addict. Biol. https://doi.org/10.1111/adb.12576 (2017).

  65. Laurent, V., Morse, A. K. & Balleine, B. W. The role of opioid processes in reward and decision-making. Br. J. Pharmacol. 172, 449–459 (2015).

    Article  PubMed  CAS  Google Scholar 

  66. Dalley, J. W. & Robbins, T. W. Fractionating impulsivity: neuropsychiatric implications. Nat. Rev. Neurosci. 18, 158–171 (2017).

    Article  PubMed  CAS  Google Scholar 

  67. Olmstead, M. C., Ouagazzal, A. M. & Kieffer, B. L. Mu and delta opioid receptors oppositely regulate motor impulsivity in the signaled nose poke task. PLoS ONE 4, e4410 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Gardon, O. et al. Expression of mu opioid receptor in dorsal diencephalic conduction system: new insights for the medial habenula. Neuroscience 277, 595–609 (2014).

    Article  PubMed  CAS  Google Scholar 

  69. Hikosaka, O. The habenula: from stress evasion to value-based decision-making. Nat. Rev. Neurosci. 11, 503–513 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  70. Boulos, L. J., Darcq, E. & Kieffer, B. L. Translating the habenula-from rodents to humans. Biol. Psychiatry 81, 296–305 (2017).

    Article  PubMed  CAS  Google Scholar 

  71. Boulos, L. J. Mu opioid receptors in the habenula: dissecting reward and aversion in addiction. Program No. 78.11. 2016 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016.

  72. Williams, J. T. et al. Regulation of mu-opioid receptors: desensitization, phosphorylation, internalization, and tolerance. Pharmacol. Rev. 65, 223–254 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  73. Cahill, C. M., Walwyn, W., Taylor, A. M. W., Pradhan, A. A. A. & Evans, C. J. Allostatic mechanisms of opioid tolerance beyond desensitization and downregulation. Trends Pharmacol. Sci. 37, 963–976 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  74. Lutz, P. E. et al. Distinct mu, delta, and kappa opioid receptor mechanisms underlie low sociability and depressive-like behaviors during heroin abstinence. Neuropsychopharmacology 39, 2694–2705 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  75. Ng, E., Browne, C. J., Samsom, J. N. & Wong, A. H. C. Depression and substance use comorbidity: what we have learned from animal studies. Am. J. Drug Alcohol Abuse 43, 456–474 (2017).

    Article  PubMed  Google Scholar 

  76. Ranganathan, M. et al. Dose-related behavioral, subjective, endocrine, and psychophysiological effects of the kappa opioid agonist Salvinorin A in humans. Biol. Psychiatry 72, 871–879 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  77. Koob, G. F. & Le Moal, M. Addiction and the brain antireward system. Annu. Rev. Psychol. 59, 29–53 (2008).

    Article  PubMed  Google Scholar 

  78. Crowley, N. A. & Kash, T. L. Kappa opioid receptor signaling in the brain: circuitry and implications for treatment. Prog. Neuropsychopharmacol. Biol. Psychiatry 62, 51–60 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  79. Land, B. B. et al. The dysphoric component of stress is encoded by activation of the dynorphin kappa-opioid system. J. Neurosci. 28, 407–414 (2008).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  80. Zhou, Y. & Kreek, M. J. Alcohol: a stimulant activating brain stress responsive systems with persistent neuroadaptation. Neuropharmacology 87, 51–58 (2014).

    Article  PubMed  CAS  Google Scholar 

  81. Massaly, N., Moron, J. A. & Al-Hasani, R. A. Trigger for opioid misuse: chronic pain and stress dysregulate the mesolimbic pathway and kappa opioid system. Front. Neurosci. 10, 480 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  82. Lalanne, L. et al. Kappa opioid receptor antagonism and chronic antidepressant treatment have beneficial activities on social interactions and grooming deficits during heroin abstinence. Addict. Biol. 22, 1010–1021 (2017).

    Article  PubMed  CAS  Google Scholar 

  83. Bruchas, M. R., Land, B. B. & Chavkin, C. The dynorphin/kappa opioid system as a modulator of stress-induced and pro-addictive behaviors. Brain Res. 1314, 44–55 (2010).

    Article  PubMed  CAS  Google Scholar 

  84. Chavkin, C. & Koob, G. F. Dynorphin, dysphoria, and dependence: the stress of addiction. Neuropsychopharmacology 41, 373–374 (2016).

    Article  PubMed  CAS  Google Scholar 

  85. Spanagel, R., Herz, A. & Shippenberg, T. S. Opposing tonically active endogenous opioid systems modulate the mesolimbic dopaminergic pathway. Proc. Natl Acad. Sci. USA 89, 2046–2050 (1992).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  86. Bals-Kubik, R., Ableitner, A., Herz, A. & Shippenberg, T. S. Neuroanatomical sites mediating the motivational effects of opioids as mapped by the conditioned place preference paradigm in rats. J. Pharmacol. Exp. Ther. 264, 489–495 (1993).

    PubMed  CAS  Google Scholar 

  87. Chefer, V. I., Backman, C. M., Gigante, E. D. & Shippenberg, T. S. Kappa opioid receptors on dopaminergic neurons are necessary for kappa-mediated place aversion. Neuropsychopharmacology 38, 2623–2631 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  88. Van’t Veer, A. et al. Ablation of kappa-opioid receptors from brain dopamine neurons has anxiolytic-like effects and enhances cocaine-induced plasticity. Neuropsychopharmacology 38, 1585–1597 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  89. Margolis, E. B. et al. Kappa opioids selectively control dopaminergic neurons projecting to the prefrontal cortex. Proc. Natl Acad. Sci. USA 103, 2938–2942 (2006).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  90. Tejeda, H. A. et al. Prefrontal cortical kappa-opioid receptor modulation of local neurotransmission and conditioned place aversion. Neuropsychopharmacology 38, 1770–1779 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  91. Tejeda, H. A. et al. Pathway- and cell-specific kappa-opioid receptor modulation of excitation-inhibition balance differentially gates D1 and D2 accumbens neuron activity. Neuron 93, 147–163 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  92. Al-Hasani, R. et al. Distinct subpopulations of nucleus accumbens dynorphin neurons drive aversion and reward. Neuron 87, 1063–1077 (2015). This report reveals regional heterogeneity within a well-known opioid peptide-expressing brain area for the first time, as dynorphin-expressing cells in either the dorsal or ventral part of the NAc shell drive opposing behaviours (that is, reward or aversion, respectively).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  93. Lammel, S. et al. Input-specific control of reward and aversion in the ventral tegmental area. Nature 491, 212–217 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  94. Abraham, A. D. et al. Kappa-opioid receptor activation in dopamine neurons disrupts behavioral inhibition. Neuropsychopharmacology 43, 362–372 (2018).

    Article  PubMed  CAS  Google Scholar 

  95. Tao, R. & Auerbach, S. B. Mu-opioids disinhibit and kappa-opioids inhibit serotonin efflux in the dorsal raphe nucleus. Brain Res. 1049, 70–79 (2005).

    Article  PubMed  CAS  Google Scholar 

  96. Land, B. B. et al. Activation of the kappa opioid receptor in the dorsal raphe nucleus mediates the aversive effects of stress and reinstates drug seeking. Proc. Natl Acad. Sci. USA 106, 19168–19173 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  97. Bruchas, M. R. et al. Selective p38α MAPK deletion in serotonergic neurons produces stress resilience in models of depression and addiction. Neuron 71, 498–511 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  98. Crowley, N. A. et al. Dynorphin controls the gain of an amygdalar anxiety circuit. Cell Rep. 14, 2774–2783 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  99. Kissler, J. L. & Walker, B. M. Dissociating motivational from physiological withdrawal in alcohol dependence: role of central amygdala kappa-opioid receptors. Neuropsychopharmacology 41, 560–567 (2016).

    Article  PubMed  CAS  Google Scholar 

  100. Kang-Park, M., Kieffer, B. L., Roberts, A. J., Siggins, G. R. & Moore, S. D. Kappa-opioid receptors in the central amygdala regulate ethanol actions at presynaptic GABAergic sites. J. Pharmacol. Exp. Ther. 346, 130–137 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  101. Gilpin, N. W., Roberto, M., Koob, G. F. & Schweitzer, P. Kappa opioid receptor activation decreases inhibitory transmission and antagonizes alcohol effects in rat central amygdala. Neuropharmacology 77, 294–302 (2014).

    Article  PubMed  CAS  Google Scholar 

  102. Kang-Park, M., Kieffer, B. L., Roberts, A. J., Siggins, G. R. & Moore, S. D. Interaction of CRF and kappa opioid systems on GABAergic neurotransmission in the mouse central amygdala. J. Pharmacol. Exp. Ther. 355, 206–211 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  103. Klenowski, P., Morgan, M. & Bartlett, S. E. The role of delta-opioid receptors in learning and memory underlying the development of addiction. Br. J. Pharmacol. 172, 297–310 (2015).

    Article  PubMed  CAS  Google Scholar 

  104. Gendron, L., Cahill, C. M., von Zastrow, M., Schiller, P. W. & Pineyro, G. Molecular pharmacology of delta-opioid receptors. Pharmacol. Rev. 68, 631–700 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  105. Pellissier, L. P., Pujol, C. N., Becker, J. A. & Le Merrer, J. Delta opioid receptors: learning and motivation. Handb Exp. Pharmacol. https://doi.org/10.1007/164_2016_89 (2016).

  106. Le Merrer, J. et al. Deletion of the delta opioid receptor gene impairs place conditioning but preserves morphine reinforcement. Biol. Psychiatry 69, 700–703 (2011).

    Article  PubMed  CAS  Google Scholar 

  107. Bruchas, M. R. & Roth, B. L. New technologies for elucidating opioid receptor function. Trends Pharmacol. Sci. 37, 279–289 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  108. Koob, G. F. & Mason, B. J. Existing and future drugs for the treatment of the dark side of addiction. Annu. Rev. Pharmacol. Toxicol. 56, 299–322 (2016).

    Article  PubMed  CAS  Google Scholar 

  109. Aboujaoude, E. & Salame, W. O. Naltrexone: a pan-addiction treatment? CNS Drugs 30, 719–733 (2016).

    Article  PubMed  CAS  Google Scholar 

  110. Schuckit, M. A. Treatment of opioid-use disorders. N. Engl. J. Med. 375, 357–368 (2016).

    Article  PubMed  Google Scholar 

  111. Volkow, N. D. & Skolnick, P. New medications for substance use disorders: challenges and opportunities. Neuropsychopharmacology 37, 290–292 (2012).

    Article  PubMed  CAS  Google Scholar 

  112. Ayanga, D., Shorter, D. & Kosten, T. R. Update on pharmacotherapy for treatment of opioid use disorder. Expert Opin. Pharmacother. 17, 2307–2318 (2016).

    Article  PubMed  CAS  Google Scholar 

  113. Carlezon, W. A. Jr & Krystal, A. D. Kappa-opioid antagonists for psychiatric disorders: from bench to clinical trials. Depress Anxiety 33, 895–906 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  114. Helal, M. A., Habib, E. S. & Chittiboyina, A. G. Selective kappa opioid antagonists for treatment of addiction, are we there yet? Eur. J. Med. Chem. 141, 632–647 (2017).

    Article  PubMed  CAS  Google Scholar 

  115. Goldman, D., Oroszi, G. & Ducci, F. The genetics of addictions: uncovering the genes. Nat. Rev. Genet. 6, 521–532 (2005).

    Article  PubMed  CAS  Google Scholar 

  116. Reed, B., Butelman, E. R., Yuferov, V., Randesi, M. & Kreek, M. J. Genetics of opiate addiction. Curr. Psychiatry Rep. 16, 504 (2014).

    Article  PubMed  Google Scholar 

  117. Levran, O., Yuferov, V. & Kreek, M. J. The genetics of the opioid system and specific drug addictions. Hum. Genet. 131, 823–842 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  118. Butelman, E. R., Yuferov, V. & Kreek, M. J. Kappa-opioid receptor/dynorphin system: genetic and pharmacotherapeutic implications for addiction. Trends Neurosci. 35, 587–596 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  119. Belzeaux, R., Lalanne, L., Kieffer, B. L. & Lutz, P. E. Focusing on the opioid system for addiction biomarker discovery. Trends Mol. Med. 24, 206–220 (2018).

    Article  PubMed  CAS  Google Scholar 

  120. Crist, R. C. & Berrettini, W. H. Pharmacogenetics of OPRM1. Pharmacol. Biochem. Behav. 123, 25–33 (2014).

    Article  PubMed  CAS  Google Scholar 

  121. Kroslak, T. et al. The single nucleotide polymorphism A118G alters functional properties of the human mu opioid receptor. J. Neurochem. 103, 77–87 (2007).

    PubMed  CAS  Google Scholar 

  122. Oertel, B. G. et al. A common human μ-opioid receptor genetic variant diminishes the receptor signaling efficacy in brain regions processing the sensory information of pain. J. Biol. Chem. 284, 6530–6535 (2009).

    Article  PubMed  CAS  Google Scholar 

  123. Colantuoni, C. et al. Temporal dynamics and genetic control of transcription in the human prefrontal cortex. Nature 478, 519–523 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  124. Hancock, D. B. et al. Cis-expression quantitative trait loci mapping reveals replicable associations with heroin addiction in OPRM1. Biol. Psychiatry 78, 474–484 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  125. Kong, X. et al. Lack of associations of the opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) with alcohol dependence: review and meta-analysis of retrospective controlled studies. BMC Med. Genet. 18, 120 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  126. Otto, J. M., Gizer, I. R., Deak, J. D., Fleming, K. A. & Bartholow, B. D. A cis-eQTL in OPRM1 is associated with subjective response to alcohol and alcohol use. Alcohol Clin. Exp. Res. 41, 929–938 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  127. Smith, A. H. et al. Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1. Mol. Psychiatry 22, 346–352 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  128. Mague, S. D. et al. Mouse model of OPRM1 (A118G) polymorphism has sex-specific effects on drug-mediated behavior. Proc. Natl Acad. Sci. USA 106, 10847–10852 (2009).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  129. Ramchandani, V. A. et al. A genetic determinant of the striatal dopamine response to alcohol in men. Mol. Psychiatry 16, 809–817 (2011). This is a translational study to elucidate the role of the MOR A118G SNP in response to alcohol, and data show that 118G carriers in both humans and a humanized A118G genetic mouse mutant release higher levels of DA following alcohol exposure.

    Article  PubMed  CAS  Google Scholar 

  130. Bernardi, R. E. et al. A gene-by-sex interaction for nicotine reward: evidence from humanized mice and epidemiology. Transl Psychiatry 6, e861 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  131. Cabrera, E. A. et al. Neuroimaging the effectiveness of substance use disorder treatments. J. Neuroimmune Pharmacol. 11, 408–433 (2016).

    Article  PubMed  Google Scholar 

  132. Henriksen, G. & Willoch, F. Imaging of opioid receptors in the central nervous system. Brain 131, 1171–1196 (2008).

    Article  PubMed  Google Scholar 

  133. Kuwabara, H. et al. Mu opioid receptor binding correlates with nicotine dependence and reward in smokers. PLoS ONE 9, e113694 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  134. Nuechterlein, E. B., Ni, L., Domino, E. F. & Zubieta, J. K. Nicotine-specific and non-specific effects of cigarette smoking on endogenous opioid mechanisms. Prog. Neuropsychopharmacol. Biol. Psychiatry 69, 69–77 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  135. Hermann, D. et al. Low mu-opioid receptor status in alcohol dependence identified by combined positron emission tomography and post-mortem brain analysis. Neuropsychopharmacology 42, 606–614 (2017).

    Article  PubMed  CAS  Google Scholar 

  136. Mick, I. et al. Blunted endogenous opioid release following an oral amphetamine challenge in pathological gamblers. Neuropsychopharmacology 41, 1742–1750 (2016).

    Article  PubMed  CAS  Google Scholar 

  137. Majuri, J. et al. Dopamine and opioid neurotransmission in behavioral addictions: a comparative PET study in pathological gambling and binge eating. Neuropsychopharmacology 42, 1169–1177 (2017).

    Article  PubMed  CAS  Google Scholar 

  138. Karlsson, H. K. et al. Obesity is associated with decreased μ-opioid but unaltered dopamine D2 receptor availability in the brain. J. Neurosci. 35, 3959–3965 (2015).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  139. Saanijoki, T. et al. Opioid release after high-intensity interval training in healthy human subjects. Neuropsychopharmacology 43, 246–254 (2018).

    Article  PubMed  CAS  Google Scholar 

  140. Nummenmaa, L. et al. Social touch modulates endogenous mu-opioid system activity in humans. Neuroimage 138, 242–247 (2016).

    Article  PubMed  CAS  Google Scholar 

  141. Manninen, S. et al. Social laughter triggers endogenous opioid release in humans. J. Neurosci. 37, 6125–6131 (2017).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  142. Nummenmaa, L. & Tuominen, L. Opioid system and human emotions. Br. J. Pharmacol. https://doi.org/10.1111/bph.13812 (2017).

  143. Borsook, D., Becerra, L. & Hargreaves, R. A role for fMRI in optimizing CNS drug development. Nat. Rev. Drug Discov. 5, 411–424 (2006).

    Article  PubMed  CAS  Google Scholar 

  144. Becerra, L., Harter, K., Gonzalez, R. G. & Borsook, D. Functional magnetic resonance imaging measures of the effects of morphine on central nervous system circuitry in opioid-naive healthy volunteers. Anesth. Analg. 103, 208–216 (2006).

    Article  PubMed  CAS  Google Scholar 

  145. Becerra, L. et al. Parallel buprenorphine phMRI responses in conscious rodents and healthy human subjects. J. Pharmacol. Exp. Ther. 345, 41–51 (2013). This is a study using phMRI to compare the effect of buprenorphine on the BOLD signal in both humans and rats and reveals a similar activity pattern across pain-related regions in the two species.

    Article  PubMed  CAS  Google Scholar 

  146. Fareed, A. et al. Effect of heroin use on changes of brain functions as measured by functional magnetic resonance imaging, a systematic review. J. Addict. Dis. 36, 105–116 (2017).

    Article  PubMed  Google Scholar 

  147. Ieong, H. F. & Yuan, Z. Resting-state neuroimaging and neuropsychological findings in opioid use disorder during abstinence: a review. Front. Hum. Neurosci. 11, 169 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  148. Zhang, Y. et al. Granger causality reveals a dominant role of memory circuit in chronic opioid dependence. Addict. Biol. 22, 1068–1080 (2017).

    Article  PubMed  CAS  Google Scholar 

  149. Moore, K. et al. BOLD imaging in awake wild-type and mu-opioid receptor knock-out mice reveals on-target activation maps in response to oxycodone. Front. Neurosci. 10, 471 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  150. Kenakin, T. The effective application of biased signaling to new drug discovery. Mol. Pharmacol. 88, 1055–1061 (2015).

    Article  PubMed  CAS  Google Scholar 

  151. Madariaga-Mazon, A. et al. Mu-opioid receptor biased ligands: a safer and painless discovery of analgesics? Drug Discov. Today 22, 1719–1729 (2017).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  152. Spangler, S. & Bruchas, M. R. Tuning biased GPCR signaling for physiological gain. Cell 171, 989–991 (2017).

    Article  PubMed  CAS  Google Scholar 

  153. Kieffer, B. L. Drug discovery: designing the ideal opioid. Nature 537, 170–171 (2016).

    Article  PubMed  CAS  Google Scholar 

  154. Bohn, L. M. et al. Enhanced morphine analgesia in mice lacking β-arrestin 2. Science 286, 2495–2498 (1999).

    Article  PubMed  CAS  Google Scholar 

  155. Raehal, K. M., Walker, J. K. & Bohn, L. M. Morphine side effects in β-arrestin 2 knockout mice. J. Pharmacol. Exp. Ther. 314, 1195–1201 (2005).

    Article  PubMed  CAS  Google Scholar 

  156. DeWire, S. M. et al. A G protein-biased ligand at the mu-opioid receptor is potently analgesic with reduced gastrointestinal and respiratory dysfunction compared with morphine. J. Pharmacol. Exp. Ther. 344, 708–717 (2013).

    Article  PubMed  CAS  Google Scholar 

  157. Siuda, E. R., Carr, R. 3rd, Rominger, D. H. & Violin, J. D. Biased mu-opioid receptor ligands: a promising new generation of pain therapeutics. Curr. Opin. Pharmacol. 32, 77–84 (2017).

    Article  PubMed  CAS  Google Scholar 

  158. Varadi, A. et al. Mitragynine/corynantheidine pseudoindoxyls as opioid analgesics with mu agonism and delta antagonism, which do not recruit β-arrestin-2. J. Med. Chem. 59, 8381–8397 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  159. Schmid, C. L. et al. Bias factor and therapeutic window correlate to predict safer opioid analgesics. Cell 171, 1165–1175 (2017). This work provides compelling evidence for the physiological relevance of MOR biased signalling, as comparing biased signalling with behavioural effects of a range of MOR agonists reveals strong correlation between G i /β-arrestin bias factors and the analgesia–respiratory depression therapeutic window.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  160. Altarifi, A. A. et al. Effects of acute and repeated treatment with the biased mu opioid receptor agonist TRV130 (oliceridine) on measures of antinociception, gastrointestinal function, and abuse liability in rodents. J. Psychopharmacol 31, 730–739 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  161. Irannejad, R. et al. Functional selectivity of GPCR-directed drug action through location bias. Nat. Chem. Biol. 13, 799–806 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  162. Urs, N. M. et al. Distinct cortical and striatal actions of a β-arrestin-biased dopamine D2 receptor ligand reveal unique antipsychotic-like properties. Proc. Natl Acad. Sci. USA 113, E8178–E8186 (2016).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  163. Olson, K. M., Lei, W., Keresztes, A., LaVigne, J. & Streicher, J. M. Novel molecular strategies and targets for opioid drug discovery for the treatment of chronic pain. Yale J. Biol. Med. 90, 97–110 (2017).

    PubMed  PubMed Central  CAS  Google Scholar 

  164. Pasternak, G. W. Opioids and their receptors: are we there yet? Neuropharmacology 76, 198–203 (2014).

    Article  PubMed  CAS  Google Scholar 

  165. Majumdar, S. et al. Truncated G protein-coupled mu opioid receptor MOR-1 splice variants are targets for highly potent opioid analgesics lacking side effects. Proc. Natl Acad. Sci. USA 108, 19778–19783 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  166. Convertino, M. et al. Mu-opioid receptor 6-transmembrane isoform: a potential therapeutic target for new effective opioids. Prog. Neuropsychopharmacol. Biol. Psychiatry 62, 61–67 (2015).

    Article  PubMed  CAS  Google Scholar 

  167. Huang, W. et al. Structural insights into micro-opioid receptor activation. Nature 524, 315–321 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  168. Spahn, V. et al. A nontoxic pain killer designed by modeling of pathological receptor conformations. Science 355, 966–969 (2017). This article reports a highly innovative approach to design safer opioid pain killers, in which ligand docking to a ‘pathological’ (acidic) receptor structure identifies a MOR agonist acting at the receptor only under conditions of inflammation, leaving other receptors at rest.

    Article  PubMed  CAS  Google Scholar 

  169. Livingston, K. E. & Traynor, J. R. Allostery at opioid receptors: modulation with small molecule ligands. Br. J. Pharmacol. https://doi.org/10.1111/bph.13823 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  170. Burford, N. T. et al. Discovery of positive allosteric modulators and silent allosteric modulators of the mu-opioid receptor. Proc. Natl Acad. Sci. USA 110, 10830–10835 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  171. Livingston, K. E. & Traynor, J. R. Disruption of the Na+ ion binding site as a mechanism for positive allosteric modulation of the mu-opioid receptor. Proc. Natl Acad. Sci. USA 111, 18369–18374 (2014).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  172. Galadrin, S. et al. The evasive nature of drug efficacy: implications for drug discovery. Trends Pharm. Sci. 28, 423–430 (2007).

    Article  CAS  Google Scholar 

  173. Roth, B. L. et al. Salvinorin A: a potent naturally occurring nonnitrogenous kappa opioid selective agonist. Proc. Natl Acad. Sci. USA 99, 11934–11939 (2002).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  174. Sheffler, D. J. & Roth, B. L. Salvinorin A: the “magic mint” hallucinogen finds a molecular target in the kappa opioid receptor. Trends Pharmacol. Sci. 24, 107–109 (2003).

    Article  PubMed  CAS  Google Scholar 

  175. Cruz, A., Domingos, S., Gallardo, E. & Martinho, A. A unique natural selective kappa-opioid receptor agonist, salvinorin A, and its roles in human therapeutics. Phytochemistry 137, 9–14 (2017).

    Article  PubMed  CAS  Google Scholar 

  176. Butelman, E. R. & Kreek, M. J. Salvinorin A, a kappa-opioid receptor agonist hallucinogen: pharmacology and potential template for novel pharmacotherapeutic agents in neuropsychiatric disorders. Front. Pharmacol. 6, 190 (2015).

    PubMed  PubMed Central  Google Scholar 

  177. Civelli, O. et al. G protein-coupled receptor deorphanizations. Annu. Rev. Pharmacol. Toxicol. 53, 127–146 (2013).

    Article  PubMed  CAS  Google Scholar 

  178. Reinscheid, R. K. et al. Orphanin FQ: a neuropeptide that activates an opioidlike G protein-coupled receptor. Science 270, 792–794 (1995).

    Article  PubMed  CAS  Google Scholar 

  179. Meunier, J. C. et al. Isolation and structure of the endogenous agonist of opioid receptor-like ORL1 receptor. Nature 377, 532–535 (1995).

    Article  PubMed  CAS  Google Scholar 

  180. Zaveri, N. T. Nociceptin opioid receptor (NOP) as a therapeutic target: progress in translation from preclinical research to clinical utility. J. Med. Chem. 59, 7011–7028 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  181. Toll, L., Bruchas, M. R., Calo, G., Cox, B. M. & Zaveri, N. T. Nociceptin/orphanin FQ receptor structure, signaling, ligands, functions, and interactions with opioid systems. Pharmacol. Rev. 68, 419–457 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  182. Witkin, J. M. et al. The biology of nociceptin/orphanin FQ (N/OFQ) related to obesity, stress, anxiety, mood, and drug dependence. Pharmacol. Ther. 141, 283–299 (2014).

    Article  PubMed  CAS  Google Scholar 

  183. Sounier, R. et al. Propagation of conformational changes during mu-opioid receptor activation. Nature 524, 375–378 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  184. Raehal, K. M., Schmid, C. L., Groer, C. E. & Bohn, L. M. Functional selectivity at the mu-opioid receptor: implications for understanding opioid analgesia and tolerance. Pharmacol. Rev. 63, 1001–1019 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  185. Pradhan, A. A., Smith, M. L., Kieffer, B. L. & Evans, C. J. Ligand-directed signalling within the opioid receptor family. Br. J. Pharmacol. 167, 960–969 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  186. Ehrich, J. M. et al. Kappa opioid receptor-induced aversion requires p38 MAPK activation in VTA dopamine neurons. J. Neurosci. 35, 12917–12931 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  187. Scherrer, G. et al. Knockin mice expressing fluorescent delta-opioid receptors uncover G protein-coupled receptor dynamics in vivo. Proc. Natl Acad. Sci. USA 103, 9691–9696 (2006). This study provides a unique knock-in mouse mutant line, and is the first of a series to visualize a GPCR in vivo; it shows DOR subcellular localization and trafficking, opening the way to understand tolerance mechanisms.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  188. Pradhan, A. A. et al. Ligand-directed trafficking of the delta-opioid receptor in vivo: two paths toward analgesic tolerance. J. Neurosci. 30, 16459–16468 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  189. Su, D. et al. One-step generation of mice carrying a conditional allele together with an HA-tag insertion for the delta opioid receptor. Sci. Rep. 7, 44476 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  190. Siuda, E. R. et al. Spatiotemporal control of opioid signaling and behavior. Neuron 86, 923–935 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  191. Marchant, N. J. et al. Behavioral and physiological effects of a novel kappa-opioid receptor-based DREADD in rats. Neuropsychopharmacology 41, 402–409 (2016).

    Article  PubMed  CAS  Google Scholar 

  192. Marchant, N. J. et al. Role of ventral subiculum in context-induced relapse to alcohol seeking after punishment-imposed abstinence. J. Neurosci. 36, 3281–3294 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  193. Harris, J. A. et al. Anatomical characterization of Cre driver mice for neural circuit mapping and manipulation. Front. Neural Circuits 8, 76 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  194. Cai, X. et al. Generation of a KOR-Cre knockin mouse strain to study cells involved in kappa opioid signaling. Genesis 54, 29–37 (2016).

    Article  PubMed  CAS  Google Scholar 

  195. Kumar, D., Chakraborty, J. & Das, S. Epistatic effects between variants of kappa-opioid receptor gene and A118G of mu-opioid receptor gene increase susceptibility to addiction in Indian population. Prog. Neuropsychopharmacol. Biol. Psychiatry 36, 225–230 (2012).

    Article  PubMed  CAS  Google Scholar 

  196. Deb, I., Chakraborty, J., Gangopadhyay, P. K., Choudhury, S. R. & Das, S. Single-nucleotide polymorphism (A118G) in exon 1 of OPRM1 gene causes alteration in downstream signaling by mu-opioid receptor and may contribute to the genetic risk for addiction. J. Neurochem. 112, 486–496 (2010).

    Article  PubMed  CAS  Google Scholar 

  197. Kapur, S., Sharad, S., Singh, R. A. & Gupta, A. K. A118G polymorphism in mu opioid receptor gene (OPRM1): association with opiate addiction in subjects of Indian origin. J. Integr. Neurosci. 6, 511–522 (2007).

    Article  PubMed  Google Scholar 

  198. Bart, G. et al. Substantial attributable risk related to a functional mu-opioid receptor gene polymorphism in association with heroin addiction in central Sweden. Mol. Psychiatry 9, 547–549 (2004).

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  199. Szeto, C. Y., Tang, N. L., Lee, D. T. & Stadlin, A. Association between mu opioid receptor gene polymorphisms and Chinese heroin addicts. Neuroreport 12, 1103–1106 (2001).

    Article  PubMed  CAS  Google Scholar 

  200. Li, T. et al. Association analysis of polymorphisms in the mu opioid gene and heroin abuse in Chinese subjects. Addict. Biol. 5, 181–186 (2000).

    Article  PubMed  CAS  Google Scholar 

  201. Hendershot, C. S., Claus, E. D. & Ramchandani, V. A. Associations of OPRM1 A118G and alcohol sensitivity with intravenous alcohol self-administration in young adults. Addict. Biol. 21, 125–135 (2016).

    Article  PubMed  CAS  Google Scholar 

  202. Bart, G. et al. Increased attributable risk related to a functional mu-opioid receptor gene polymorphism in association with alcohol dependence in central Sweden. Neuropsychopharmacology 30, 417–422 (2005).

    Article  PubMed  CAS  Google Scholar 

  203. Schinka, J. A. et al. A functional polymorphism within the mu-opioid receptor gene and risk for abuse of alcohol and other substances. Mol. Psychiatry 7, 224–228 (2002).

    Article  PubMed  CAS  Google Scholar 

  204. Town, T. et al. Association of a functional mu-opioid receptor allele (+118A) with alcohol dependency. Am. J. Med. Genet. 88, 458–461 (1999).

    Article  PubMed  CAS  Google Scholar 

  205. Dlugos, A. M. et al. OPRM1 gene variants modulate amphetamine-induced euphoria in humans. Genes Brain Behav. 10, 199–209 (2011).

    Article  PubMed  CAS  Google Scholar 

  206. Schuck, K., Otten, R., Engels, R. C. & Kleinjan, M. Initial responses to the first dose of nicotine in novel smokers: the role of exposure to environmental smoking and genetic predisposition. Psychol. Health 29, 698–716 (2014).

    Article  PubMed  Google Scholar 

  207. Zhang, Y. et al. Mouse model of the OPRM1 (A118G) polymorphism: differential heroin self-administration behavior compared with wild-type mice. Neuropsychopharmacology 40, 1091–1100 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  208. Browne, C. A., Erickson, R. L., Blendy, J. A. & Lucki, I. Genetic variation in the behavioral effects of buprenorphine in female mice derived from a murine model of the OPRM1 A118G polymorphism. Neuropharmacology 117, 401–407 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  209. Briand, L. A. et al. Mouse model of OPRM1 (A118G) polymorphism increases sociability and dominance and confers resilience to social defeat. J. Neurosci. 35, 3582–3590 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  210. Robinson, J. E. et al. Receptor reserve moderates mesolimbic responses to opioids in a humanized mouse model of the OPRM1 A118G polymorphism. Neuropsychopharmacology 40, 2614–2622 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  211. Henderson-Redmond, A. N. et al. Morphine-induced antinociception and reward in “humanized” mice expressing the mu opioid receptor A118G polymorphism. Brain Res. Bull. 123, 5–12 (2016).

    Article  PubMed  CAS  Google Scholar 

  212. Bilbao, A. et al. A pharmacogenetic determinant of mu-opioid receptor antagonist effects on alcohol reward and consumption: evidence from humanized mice. Biol. Psychiatry 77, 850–858 (2015).

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

The authors deeply thank the CNRS/INSERM/University of Strasbourg (France), the US National Institutes of Health (National Institute of Drug Abuse Grant 05010 and National Institute on Alcohol Abuse and Alcoholism Grant 16658 to B.L.K.), the Canada Fund for Innovation and the Canada Research Chairs (to B.L.K and E.D.), and the Bourgeois family (B.L.K. is the Bourgeois Chair for Pervasive Developmental Disorders) for continuous support.

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Nature Reviews Neuroscience thanks E. J. Nestler and the other anonymous reviewer(s) for their contribution to the peer review of this work.

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E.D. and B.L.K. researched data for the article, made substantial contributions to the discussion of content, wrote the article and reviewed and edited the manuscript before submission.

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Glossary

Psychotomimetic

An effect caused by drugs, mimicking symptoms of psychosis, such as agitation, delusions and delirium.

Biased agonism

A signalling response determined by the conformation of the drug–receptor–effector complex that engages only a subset of cellular effectors. Some high-throughput screening programmes have aimed to design novel ‘biased’ drugs with improved therapeutic profiles.

Therapeutic window

Dose range for a drug that allows therapeutic efficacy with no (or minimal) side effects.

Location bias

Bias in receptor signalling dictated by the location of the receptor in the cell (for example, at the surface or in endosomes or Golgi) and the availability of effectors at this site.

Systems bias

Bias in receptor signalling driven by anatomical localization within brain circuits subserving the behavioural response and the effectors available at those sites.

Precision medicine

Also known as personalized medicine. An innovative approach in medicine in which interindividual variability (in lifestyle, environment and genes) is taken into consideration for disease prevention and/or treatment.

Hedonic balance

The equilibrium between positive and negative affect. A positive hedonic state is considered a state of well-being, whereas a negative hedonic state is unpleasant.

Reverse pharmacology

An approach in which a receptor or endogenous ligand is discovered first, the physiological function is determined.

Conditioned place preference

(CPP). A behavioural paradigm in rodents that determines the rewarding or aversive effect of a drug on the basis of time spent in a drug-associated context after conditioning.

Tetrahydrocannabinol

(THC). The principal psychoactive component of cannabis, which produces central effects by acting at cannabinoid CB1 receptors.

Psychostimulants

A group of substances (including cocaine and amphetamines) that enhance physical and cognitive performance. Psychostimulants are used to treat attention deficit–hyperactivity disorder.

Inhibitory controls

A central component of executive functions, geared to inhibit or delay dominant responses to achieve a goal.

Operant photostimulation

Instrumental conditioning in which animals learn to self-administer optogenetic stimulation; used to determine whether a neuronal population mediates reward.

Escalation

In animal research, extended access to the drug leads to a daily increase (or escalation) of drug intake, which is suggested to reflect loss of control.

Quantitative trait loci

Genomic regions that carry one or more DNA mutations that correlate with phenotypic variations (for example, behaviour, gene expression and protein levels).

Machine learning

A research field in which computers learn to extract patterns from complex data sets without being explicitly programmed for this goal. Helps biologists to build predictions.

Receptor bioavailability

Also known as receptor binding. The quantity of radiotracer that binds to its target receptor in positron emission tomography imaging. Depends on receptor levels and occupancy by endogenous ligands.

Effective connectivity

In functional MRI, a measure of the influence of one brain region on the activity of another brain region.

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Darcq, E., Kieffer, B.L. Opioid receptors: drivers to addiction?. Nat Rev Neurosci 19, 499–514 (2018). https://doi.org/10.1038/s41583-018-0028-x

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