HJAR May/Jun 2022

DRUG ADDICTION 53. Rasmussen K, White DA, Acri JB. NIDA’s medication developmentpriorities inresponsetotheOpioidCrisis:ten mostwanted.Neuropsychopharmacology.2019;44:657–59. 54.InselT,CuthbertB,GarveyM,HeinssenR,PineDS,Quinn K, et al. Research domain criteria (RDoC): toward a new classification framework for research onmental disorders. AJ Psychiatry.2010;167:748–51. 55. Kwako LE, Schwandt ML, Ramchandani VA, DiazgranadosN,KoobGF,VolkowND,etal.Neurofunctional domains derived from deep behavioral phenotyping in alcohol use disorder.AJ Psychiatry.2019;176:744–53. 56.KwakoLE,BickelWK,GoldmanD.Addictionbiomarkers: dimensional approa- ches to understanding addiction. Trends Mol Med.2018;24:121–28. 57.Xiao P,Dai Z,ZhongJ,ZhuY,Shi H,Pan P.Regional gray matter deficits in alcohol dependence: a meta-analysis of voxel-based morphometry studies. Drug Alcohol Depend. 2015;153:22–8. 58. Ersche KD, Williams GB, Robbins TW, Bullmore ET. Meta-analysis of structural brain abnormalities associated with stimulant drug dependence and neuroi- maging of addiction vulnerability and resilience.Curr Opin Neurobiol. 2013;23:615–24. 59. Klugah-Brown B, Di X, Zweerings J, Mathiak K, Becker B, Biswal B. Common and separable neural alterations in substanceusedisorders:acoordinate-basedmeta-analyses of functional neuroimaging studies in humans. Hum Brain Mapp.2020;41:4459–77. 60. Volkow ND, Fowler JS, Wang GJ. The addicted human brain: insights from imaging studies. J Clin Investig. 2003;111:1444–51. 61. Goldstein RZ,Volkow ND. Dysfunction of the prefrontal cortex in addiction: neu- roimaging findings and clinical implications.Nat Rev Neurosci.2011;12:652–69. 62. Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-Hagata LB, et al. Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry.2015;72:305–15. 63. Scofield MD, Heinsbroek JA, Gipson CD, Kupchik YM, Spencer S, Smith AC, et al. The nucleus accumbens: mechanisms of addiction across drug classes reflect the importance of glutamate homeostasis. Pharm Rev. 2016;68:816–71. 64. Korpi ER, den Hollander B, Farooq U, Vashchinkina E, Rajkumar R, Nutt DJ, et al. Mechanisms of action and persistent neuroplasticity by drugs of abuse. Pharm Rev. 2015;67:872–1004. 65.LuscherC,MalenkaRC.Drug-evokedsynapticplasticity inaddiction:frommolecularchangestocircuitremodeling. Neuron.2011;69:650–63. 66. Everitt BJ. Neural and psychological mechanisms underlying compulsive drug seeking habits and drug memories–indications for novel treatments of addic- tion. EurJ Neurosci.2014;40:2163–82. 67. Lesscher HM,Vanderschuren LJ. Compulsive drug use and its neural substrates.Rev Neurosci.2012;23:731–45. 68. Cruz FC, Koya E, Guez-Barber DH, Bossert JM, Lupica CR, Shaham Y, et al. New technologies for examining the role of neuronal ensembles in drug addiction and fear. Nat Rev Neurosci.2013;14:743–54. 69.CrickF.Theastonishinghypothesis:thescientificsearch forthesoul.Scribner;MaxwellMacmillan International:New York,NY; 1994. 70. Vanderschuren LJ, Achterberg EJ, Trezza V. The neurobiology of social play and its rewarding value in rats. Neurosci Biobehav Rev.2016;70:86–105. 71. Venniro M, Zhang M, Caprioli D, Hoots JK, Golden SA, Heins C, et al. Volitional social interaction prevents drug addiction in rat models.Nat Neurosci.2018;21:1520–29. 72.Martinez D,Orlowska D,Narendran R,Slifstein M,Liu F, Kumar D, et al. Dopa- mine type 2/3 receptor availability in the striatum and social status in human volunteers. Biol Psychiatry.2010;67:275–8. 73. Wiers CE, Shokri-Kojori E, Cabrera E, Cunningham S, Wong C, Tomasi D, et al. Socioeconomic status is associated with striatal dopamine D2/D3 receptors in healthy volunteers but not in cocaine abusers. Neurosci Lett.2016;617:27–31. 74. Morgan D, Grant KA, Gage HD, Mach RH, Kaplan JR, PrioleauO,etal.Socialdom- inance inmonkeys:dopamine D2receptorsandcocaineself-administration.NatNeurosci. 2002;5:169–74. 75. Hughes K, Bellis MA, Hardcastle KA, Sethi D, Butchart A, Mikton C, et al.The effect of multiple adverse childhood experiences on health: a systematic review and meta- analysis.Lancet Public Health.2017;2:e356–e66. 76. Gilbert PA, Zemore SE. Discrimination and drinking: a systematic review of the evidence. Soc Sci Med 2016;161:178–94. 77. Oshri A, Gray JC, Owens MM, Liu S, Duprey EB, Sweet LH, et al. Adverse child- hood experiences and amygdalar reduction: high-resolution segmentation reveals associations with subnuclei and psychiatric outcomes. ChildMaltreat.2019;24:400–10. 78. Holmes CJ, Barton AW, MacKillop J, Galván A, Owens MM, McCormick MJ, et al. Parenting and salience network connectivity among African Americans: a pro- tective pathway for health-risk behaviors. Biol Psychiatry. 2018;84:365–71. 79. Brody GH, Gray JC,Yu T, Barton AW, Beach SR, Galván A, et al. Protective prevention effects on the association of poverty with brain development. JAMA Pediatr. 2017;171:46–52. 80. Hanson JL, Gillmore AD,Yu T, Holmes CJ, Hallowell ES, Barton AW, et al. A family focused intervention influences hippocampal-prefrontal connectivity through gains in self- regulation.Child Dev.2019;90:1389–401. 81. Borsboom D, Cramer A, Kalis A. Brain disorders? Not really… why network structures block reductionism in psychopathologyresearch.BehavBrainSci.2018;42:1–54. 82.FieldM,Heather N,Wiers RW. Indeed,not really a brain disorder: Implicationsforreductionistaccountsofaddiction. Behav Brain Sci.2019;42:e9. 83. Pascoli V, Hiver A, Van Zessen R, Loureiro M, Achargui R, Harada M, et al. Sto- chastic synaptic plasticity underlying compulsion in a model of addiction. Nature. 2018;564:366–71. 84.JamesW.The dilemma of determinism.Whitefish,MT: Kessinger Publishing; 2005. 85. Gessell B. Indeterminism in the brain. Biol Philos. 2017;32:1205–23. 86. Jedlicka P. Revisiting the quantum brain hypothesis: toward quantum (neuro) biology? Front Mol Neurosci. 2017;10:366. 87.HeymanGM .Addiction:adisorderofchoice.Cambridge , MA: Harvard University Press; 2010. 88. Heather NQ. Is addiction a brain disease or a moral failing?A: Neither.Neu- roethics.2017;10:115–24. 89. Ahmed SH, Lenoir M, Guillem K. Neurobiology of addiction versus drug use driven by lack of choice. Curr Opin Neurobiol.2013;23:581–7. 90. Hogarth L, Lam-Cassettari C, Pacitti H, Currah T, Mahlberg J, Hartley L, et al. Intact goal-directed control in treatment-seeking drug users indexed by outcome- devaluationandPavlovianto instrumentaltransfer:critique of habit theory.EurJ Neurosci.2019;50:2513–25. 91. Mathis V, Kenny PJ. From controlled to compulsive drug-taking:theroleofthehabenula inaddiction.Neurosci Biobehav Rev.2019;106:102–11. 92. Luscher C, Robbins TW, Everitt BJ. The transition to compulsion inaddiction.NatRevNeurosci.2020;21:247–63. 93.RobinsonTE,BerridgeKC.Addiction.AnnuRevPsychol. 2003;54:25–53. 94.EverittBJ,RobbinsTW.Neuralsystemsofreinforcement fordrug addiction:fromactionstohabitstocompulsion.Nat Neurosci.2005;8:1481–89. 95. Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology.2010;35:217–38. 96.TiffanyST.Acognitivemodelofdrugurgesanddrug-use behavior: role of automatic and nonautomatic processes. Psychol Rev.1990;97:147–68. 97. Robinson TE, Berridge KC. The neural basis of drug craving: an incentive- sensitization theory of addiction. Brain Res Rev.1993;18:247–91. 98.Koob GF,Le Moal M.Plasticity of reward neurocircuitry and the ‘dark side’ of drug addiction. Nat Neurosci. 2005;8:1442–4. 99.Stein DJ,Costa DLC,Lochner C,Miguel EC,ReddyYCJ, Shavitt RG, et al. Obsessive-compulsive disorder. Nat Rev Dis Prim.2019;5:52. 100.Vanderschuren LJ, Everitt BJ. Drug seeking becomes compulsive after prolonged cocaine self-administration. Science 2004;305:1017–9. 101. American_Psychiatric_Association. Diagnostic and statistical manual of mental disorders: DSM-5™. 5th ed. Arlington, VA, US: American Psychiatric Publishing, Inc; 2013. 102. Spragg SDS. Morphine addiction in chimpanzees. Comp Psychol Monogr.1940;15:132–32. 103. Lenoir M, Cantin L, Vanhille N, Serre F, Ahmed SH. Extended heroin access increases heroin choices over a potent nondrug alternative. Neuropsycho- pharmacology. 2013;38:1209–20. 104. Caprioli D, Venniro M, Zeric T, Li X, Adhikary S, Madangopal R, et al. Effect of the novel positive allosteric modulatorofmetabotropicglutamatereceptor2AZD8529 on incubationofmethamphetaminecravingafterprolonged volun- tary abstinence in a rat model. Biol Psychiatry. 2015;78:463–73. 105. Augier E, Barbier E, Dulman RS, Licheri V, Augier G, DomiE,etal.Amolecularmechanismforchoosingalcohol over an alternative reward.Science.2018;360:1321–26. 106. Bigelow GE. An operant behavioral perspective on alcohol abuse and depen- dence. In: Heather N, Peters TJ, Stockwell T, editors. International handbook of alcohol dependence and problems. John Wiley & Sons Ltd; 2001. p.299–315. 107. Higgins ST, Heil SH, Lussier JP. Clinical implications of reinforcementasadeterminantofsubstanceusedisorders. Annu Rev Psychol.2004;55:431–61. 108. Satel S, Lilienfeld SO. Brainwashed: the seductive appeal of mindless neu- roscience. New York, NY: Basic Books; 2015. 109. Wilson EO. Consilience: the unity of knowledge. New York,NY:Vintage Books; 1999. 110. Saunders JB, Degenhardt L, Reed GM, Poznyak V. Alcohol use disorders in ICD- 11: past, present, and future. Alcohol Clin Exp Res 2019;43:1617–31. 111. Organization. WH. ICD-11 for mortality and morbidity statistics. 2018. https://icd. who.int/browse11/l-m/en. Accessed 21 Oct 2020. 112. Babor TF, McRee BG, Kassebaum PA, Grimaldi PL, AhmedK,BrayJ.Screening,brief intervention,andreferral to treatment (SBIRT): toward a public health approach to the management of substance abuse. Subst Abus. 2007;28:7–30. 113.WitkiewitzK,HallgrenKA,KranzlerHR,MannKF,Hasin DS, Falk DE, et al. Clinical validation of reduced alcohol consumption after treatment for alcohol depen- dence using the World Health Organization risk drinking levels. Alcohol Clin Exp Res 2017;41:179–86. 114. Hasin DS, O’Brien CP, Auriacombe M, Borges G, Bucholz K, Budney A, et al. DSM- 5 criteria for substance use disorders: recommendations and rationale. AJ Psy- chiatry.2013;170:834–51. 115.RosenthalRJ,FarisSB.Theetymologyandearlyhistory of‘addiction’.Addict ResTheory.2019;27:437–49. 116.MartinCS,SteinleyDL,VergesA,SherKJ.Theproposed 2/11 symptom algo- rithm for DSM-5 substance-use disorders is too lenient.Psychol Med.2011;41:2008–10. 117.DegenhardtL,BharatC,BrunoR,GlantzMD,Sampson NA, Lago L, et al. Con- cordance between the diagnostic guidelines for alcohol and cannabis use dis- orders in the draft ICD-11 and other classification systems: analysis of data from the WHO’s World Mental Health Surveys. Addiction.2019;114:534–52. 118. Lago L, Bruno R, Degenhardt L. Concordance of ICD-11 and DSM-5 definitions of alcohol and cannabis use disorders: a population survey. Lancet Psychiatry. 2016;3:673–84. 119.LundinA,HallgrenM,ForsmanM,ForsellY.Comparison ofDSM-5classificationsofalcoholusedisorderswiththose of DSM-IV, DSM-III-R, and ICD-10 in a general population sample in Sweden.J StudAlcohol Drugs.2015;76:773–80. 120. Kwako LE, Momenan R, Litten RZ, Koob GF, Goldman D. Addictions neuroclinical assessment: a neuroscience- based framework for addictive disorders.Biol Psy- chiatry. 2016;80:179–89. 121. Rehm J, Heilig M, Gual A. ICD-11 for alcohol use disorders:notaconvincinganswertothechallenges.Alcohol Clin Exp Res.2019;43:2296–300. 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