Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Primer
  • Published:

Gambling disorder

Abstract

Gambling disorder is characterized by a persistent, recurrent pattern of gambling that is associated with substantial distress or impairment. The prevalence of gambling disorder has been estimated at 0.5% of the adult population in the United States, with comparable or slightly higher estimates in other countries. The aetiology of gambling disorder is complex, with implicated genetic and environmental factors. Neurobiological studies have implicated cortico-striato-limbic structures and circuits in the pathophysiology of this disorder. Individuals with gambling disorder often go unrecognized and untreated, including within clinical settings. Gambling disorder frequently co-occurs with other conditions, particularly other psychiatric disorders. Behavioural interventions, particularly cognitive-behavioural therapy but also motivational interviewing and Gamblers Anonymous, are supported in the treatment of gambling disorder. No pharmacological therapy has a formal indication for the treatment of gambling disorder, although placebo-controlled trials suggest that some medications, such as opioid-receptor antagonists, may be helpful. Given the associations with poor quality of life and suicide, improved identification, prevention, policy and treatment efforts are needed to help people with gambling disorder.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Psychiatric comorbidities with gambling disorder.
Fig. 2: Theoretical model for neural differences in gambling disorder.
Fig. 3: Neurobiology of gambling disorder.
Fig. 4: Proposed treatment algorithm for gambling disorder.
Fig. 5: Quality of life in gambling disorder.

Similar content being viewed by others

References

  1. Potenza, M. N., Kosten, T. R. & Rounsaville, B. J. Pathological gambling. JAMA 286, 141–144 (2001).

    Article  CAS  PubMed  Google Scholar 

  2. Blum, A. W. & Grant, J. E. Behavioral addictions and criminal responsibility. J. Am. Acad. Psychiatry Law 45, 464–471 (2017).

    PubMed  Google Scholar 

  3. Easton, T. & Newell, S. Are daily fantasy sports gambling? J. Sports Analytics 5, 35–43 (2019).

    Article  Google Scholar 

  4. Marchica, L. & Derevensky, J. Fantasy sports: a growing concern among college student-athletes. Int. J. Ment. Health Addict. 14, 635–645 (2016).

    Article  Google Scholar 

  5. Bailey, J. M. A video game ‘loot box’ offers coveted rewards, but is it gambling? New York Times https://www.nytimes.com/2018/04/24/business/loot-boxes-video-games.html (2018).

  6. King, D. L. & Delfabbro, P. H. Predatory monetization schemes in video games (for example, ‘loot boxes’) and internet gaming disorder. Addiction 113, 1967–1969 (2018).

    Article  PubMed  Google Scholar 

  7. Gainsbury, S. Internet Gambling: Current Research Findings and Implications (Springer Science & Business Media, 2012).

  8. Rodenberg, R. United States of sports betting: an updated map of where every state stands. ESPN http://www.espn.com/chalk/story/_/id/19740480/gambling-sports-betting-bill-tracker-all-50-states (2019).

  9. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 5th edn (American Psychiatric Association, 2013).

  10. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 4th edn (American Psychiatric Association, 1994).

  11. Weinstock, J., April, L. M. & Kallmi, S. Is subclinical gambling really subclinical? Addict. Behav. 73, 185–191 (2017).

    Article  PubMed  Google Scholar 

  12. Potenza, M. N. Should addictive disorders include non-substance-related conditions? Addiction 101 (Suppl. 1), 142–151 (2006).

    Article  PubMed  Google Scholar 

  13. Potenza, M., Koran, L. & Pallanti, S. The relationship between obsessive-compulsive and impulse control disorders: a current understanding and future research directions. Psychiatry Res. 170, 22–31 (2009). Together with Ref 12, this article provides a systematic review of domains that provided support for classifying GD as a behavioural addiction.

    Article  PubMed  PubMed Central  Google Scholar 

  14. World Health Organization. 6C50 gambling disorder. ICD-11 https://icd.who.int/dev11/l-m/en#/http%3a%2f%2fid.who.int%2ficd%2fentity%2f1041487064 (2019).

  15. Custer, R. L. Profile of the pathological gambler. J. Clin. Psychiatry 45, 35–38 (1984).

    CAS  PubMed  Google Scholar 

  16. Slutske, W. S. Natural recovery and treatment-seeking in pathological gambling: results of two U.S. national surveys. Am. J. Psychiatry 163, 297–302 (2006).

    Article  PubMed  Google Scholar 

  17. Gerstein, D. R. et al. Gambling Impact and Behavior Study: Report to the National Gambling Impact Study Commission (National Opinion Research Center, 1999).

  18. Dowling, N., Smith, D. & Thomas, T. Electronic gaming machines: are they the ‘crack cocaine’ of gambling? Addiction 100, 33–45 (2005).

    Article  PubMed  Google Scholar 

  19. Chambers, R. A. & Potenza, M. N. Schizophrenia and pathological gambling. Am. J. Psychiatry 158, 497–498 (2001).

    Article  PubMed  Google Scholar 

  20. Yakovenko, I., Fortgang, R., Prentice, J., Hoff, R. A. & Potenza, M. N. Correlates of frequent gambling and gambling-related chasing behaviors in individuals with schizophrenia-spectrum disorders. J. Behav. Addict. 7, 375–383 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Gainsbury, S. M., Russell, A., Wood, R., Hing, N. & Blaszczynski, A. How risky is Internet gambling? A comparison of subgroups of Internet gamblers based on problem gambling status. New Media Soc. 17, 861–879 (2015).

    Article  Google Scholar 

  22. Slutske, W. S., Blaszczynski, A. & Martin, N. G. Sex differences in the rates of recovery, treatment-seeking, and natural recovery in pathological gambling: results from an Australian community-based twin survey. Twin Res. Hum. Genet. 12, 425–432 (2009).

    Article  PubMed  Google Scholar 

  23. Shaffer, H., Hall, M. N. & Vander Bilt, J. Estimating the prevalence of disordered gambling in the United States and Canada: a research synthesis. Am. J. Publ. Health 89, 1369–1376 (1999).

    Article  CAS  Google Scholar 

  24. Kessler, R. C. et al. DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychol. Med. 38, 1351–1360 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Lorains, F. K., Cowlishaw, S. & Thomas, S. A. Prevalence of comorbid disorders in problem and pathological gambling: systematic review and meta-analysis of population surveys. Addiction 106, 490–498 (2011).

    Article  PubMed  Google Scholar 

  26. Wardle, H. et al. British Gambling Prevalence Survey 2010 (Her Majesty’s Stationery Office, 2011).

  27. Erbas, B. & Buchner, U. G. Pathological gambling: prevalence, diagnosis, comorbidity, and intervention in Germany. Dtsch. Arztebl. Int. 109, 173–179 (2012).

    PubMed  PubMed Central  Google Scholar 

  28. Delfabbro, P. & King, D. Gambling in Australia: experiences, problems, research and policy. Addiction 107, 1556–1561 (2012).

    Article  PubMed  Google Scholar 

  29. Wong, I. L. & So, E. M. Prevalence estimates of problem and pathological gambling in Hong Kong. Am. J. Psychiatry 160, 1353–1354 (2003).

    Article  PubMed  Google Scholar 

  30. Calado, F. & Griffiths, M. D. Problem gambling worldwide: an update and systematic review of empirical research (2000–2015). J. Behav. Addict. 5, 592–613 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Petry, N. M., Blanco, C., Stinchfield, R. & Volberg, R. An empirical evaluation of proposed changes for gambling diagnosis in the DSM-5. Addiction 108, 575–581 (2013).

    Article  PubMed  Google Scholar 

  32. Denis, C., Fatseas, M. & Auriacombe, M. Analyses related to the development of DSM-5 criteria for substance use related disorders: 3. An assessment of pathological gambling criteria. Drug Alcohol Depend. 122, 22–27 (2012).

    Article  PubMed  Google Scholar 

  33. Petry, N. M., Blanco, C., Jin, C. & Grant, B. F. Concordance between gambling disorder diagnoses in the DSM-IV and DSM-5: results from the National Epidemiological Survey of Alcohol and Related Disorders. Psychol. Addict. Behav. 28, 586–591 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Shaffer, H. & Hall, M. N. Updating and refining prevalence estimates of disordered gambling behavior in the United States and Canada. Can. J. Public Health 92, 168–172 (2001).

    CAS  PubMed  PubMed Central  Google Scholar 

  35. Petry, N. M., Stinson, F. S. & Grant, B. F. Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J. Clin. Psychiatry 66, 564–574 (2005). This article provides prevalence estimates for DSM-IV pathological gambling and its co-occurrence with other psychiatric disorders in a large, nationally representative population in the United States.

    Article  PubMed  Google Scholar 

  36. Kessler, R. C. et al. The prevalence and correlates of DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychol. Med. 38, 1351–1360 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. National Council on Problem Gambling. Report of survey on participation in gambling activities among Singapore residents, 2014. NCPG http://www.ncpg.org.sg/en/pdf/2014%20NCPG%20Gambling%20Participation%20Survey_FINAL.pdf (2015).

  38. Grant, J. E., Levine, L., Kim, D. & Potenza, M. N. Impulse control disorders in adult psychiatric populations. Am. J. Psychiatry 162, 2184–2188 (2005).

    Article  PubMed  Google Scholar 

  39. Cowlishaw, S. & Hakes, J. K. Pathological and problem gambling in substance use treatment: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Am. J. Addict. 24, 467–474 (2015).

    Article  PubMed  Google Scholar 

  40. Bruneau, M. et al. Gambling transitions among adult gamblers: a multi-state model using a Markovian approach applied to the JEU cohort. Addict. Behav. 57, 13–20 (2016).

    Article  PubMed  Google Scholar 

  41. Grant, J. E. & Kim, S. W. Comorbidity of impulse control disorders in pathological gamblers. Acta Psychiatr. Scand. 108, 203–207 (2003).

    Article  CAS  PubMed  Google Scholar 

  42. Weintraub, D. et al. Impulse control disorders in Parkinson disease: a cross-sectional study of 3090 patients. Arch. Neurol. 67, 589–595 (2010). This article provides prevalence estimates for DSM-IV pathological gambling and other impulse-control disorders/behaviours in a large sample of individuals with Parkinson disease.

    Article  PubMed  Google Scholar 

  43. Santangelo, G., Barone, P., Trojano, L. & Vitale, C. Pathological gambling in Parkinson’s disease. A comprehensive review. Parkinsonism Relat. Disord. 19, 645–653 (2013).

    Article  PubMed  Google Scholar 

  44. Desai, R., Desai, M. & Potenza, M. Gambling, health and age: data from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychol. Addict. Behav. 21, 431–440 (2007).

    Article  PubMed  Google Scholar 

  45. Black, D. W., Shaw, M., McCormick, B. & Allen, J. Pathological gambling: relationship to obesity, self-reported chronic medical conditions, poor lifestyle choices, and impaired quality of life. Compr. Psychiatry 54, 97–104 (2013).

    Article  PubMed  Google Scholar 

  46. Yip, S. W., White, M. A., Grilo, C. M. & Potenza, M. N. An exploratory study of clinical measures associated with subsyndromal pathological gambling in patients with binge eating disorder. J. Gambl. Stud 27, 257–270 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Blanco, C., Hasin, D. S., Petry, N., Stinson, F. S. & Grant, B. F. Sex differences in subclinical and DSM-IV pathological gambling: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychol. Med. 36, 943–953 (2006).

    Article  PubMed  Google Scholar 

  48. Worhunsky, P. D., Malison, R. T., Rogers, R. D. & Potenza, M. N. Altered neural correlates of reward and loss processing during simulated slot-machine fMRI in pathological gambling and cocaine dependence. Drug Alcohol. Depend. 145, 77–86 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Yip, S. W. et al. Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 2, 188–195 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  50. Xian, H., Giddens, J. L., Scherrer, J. F., Eisen, S. A. & Potenza, M. N. Environmental factors selectively impact co-occurrence of problem/pathological gambling with specific drug-use disorders in male twins. Addiction 109, 635–644 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  51. Welte, J. W., Barnes, G. M., Tidwell, M. O. & Wieczorek, W. F. Predictors of problem gambling in the U.S. J. Gambl. Stud. 33, 327–342 (2017).

    Article  PubMed  Google Scholar 

  52. Calado, F., Alexandre, J. & Griffiths, M. D. Prevalence of adolescent problem gambling: a systematic review of recent research. J. Gambl. Stud. 33, 397–424 (2017).

    Article  PubMed  Google Scholar 

  53. Dowling, N. A. et al. Early risk and protective factors for problem gambling: a systematic review and meta-analysis of longitudinal studies. Clin. Psychol. Rev. 51, 109–124 (2017).

    Article  CAS  PubMed  Google Scholar 

  54. Petry, N. M. & Steinberg, K. L. Childhood maltreatment in male and female treatment-seeking pathological gamblers. Psychol. Addict. Behav. 19, 226–229 (2005).

    Article  PubMed  Google Scholar 

  55. Chambers, R. A. & Potenza, M. N. Neurodevelopment, impulsivity, and adolescent gambling. J. Gambl. Stud. 19, 53–84 (2003).

    Article  PubMed  Google Scholar 

  56. Chambers, R. A., Taylor, J. R. & Potenza, M. N. Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability. Am. J. Psychiatry 160, 1041–1052 (2003).

    Article  PubMed  PubMed Central  Google Scholar 

  57. Potenza, M. N. et al. Gender-related differences in the characteristics of problem gamblers using a gambling helpline. Am. J. Psychiatry 158, 1500–1505 (2001).

    Article  CAS  PubMed  Google Scholar 

  58. Valleur, M. et al. Towards a validation of the three pathways model of pathological gambling. J. Gambl. Stud. 32, 757–771 (2016).

    Article  PubMed  Google Scholar 

  59. Blanco, C. et al. Towards a comprehensive developmental model of pathological gambling. Addiction 110, 1340–1351 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  60. Potenza, M. N. The neural bases of cognitive processes in gambling disorder. Trends Cogn. Sci. 18, 429–438 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  61. Sacco, P., Torres, L. R., Cunningham-Williams, R. M., Woods, C. & Unick, G. J. Differential item functioning of pathological gambling criteria: an examination of gender, race/ethnicity, and age. J. Gambl. Stud. 27, 317–330 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Zakiniaeiz, Y., Cosgrove, K. P., Mazure, C. M. & Potenza, M. N. Does telescoping exist in male and female gamblers? Does it matter? Front. Psychol. 8, 1510 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  63. Sharpe, L. & Tarrier, N. Towards a cognitive-behavioral theory of problem gambling. Br. J. Psychiatry 162, 407–412 (1993).

    Article  CAS  PubMed  Google Scholar 

  64. Sharpe, L. A reformulated cognitive-behavioral model of problem gambling: a biopsychosocial perspective. Clin. Psychol. Rev. 22, 1–25 (2002).

    Article  PubMed  Google Scholar 

  65. Blaszczynski, A. & Nower, L. A pathways model of problem and pathological gambling. Addiction 97, 487–499 (2002).

    Article  PubMed  Google Scholar 

  66. Mader, J. An Evaluation of the Pathways Model of Problem Gambling Using the Quinte Longitudinal Dataset Thesis, Univ. Lethbridge (2017).

  67. Ladouceur, R. et al. Cognitive treatment of pathological gambling. J. Nerv. Ment. Dis. 189, 774–780 (2001).

    Article  CAS  PubMed  Google Scholar 

  68. Clark, L., Studer, B., Bruss, J., Tranel, D. & Bechara, A. Damage to insula abolishes cognitive distortions during simulated gambling. Proc. Natl Acad. Sci. USA 111, 6098–6103 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Limbrick-Oldfield, E. H. et al. Neural substrates of cue reactivity and craving in gambling disorder. Transl Psychiatry 7, e992 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Eisen, S., Neuman, R., Goldberg, J., Rice, J. & True, W. Determining zygosity in the Vietnam Era Twin Registry: an approach using questionnaires. Clin. Genet. 35, 423–432 (1989).

    Article  CAS  PubMed  Google Scholar 

  71. Eisen, S. A. et al. Familial influences on gambling behavior: an analysis of 3359 twin pairs. Addiction 93, 1375–1384 (1998). This article was the first to provide estimates of genetic and environmental contributions to pathological gambling.

    Article  CAS  PubMed  Google Scholar 

  72. Potenza, M. N., Xian, H., Shah, K., Scherrer, J. F. & Eisen, S. A. Shared genetic contributions to pathological gambling and major depression in men. Arch. Gen. Psychiatry 62, 1015–1021 (2005).

    Article  PubMed  Google Scholar 

  73. Giddens, J. L., Xian, H., Scherrer, J. F., Eisen, S. A. & Potenza, M. N. Shared genetic contributions to anxiety disorders and pathological gambling in a male population. J. Affect. Disord. 132, 406–412 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  74. Scherrer, J. F., Xian, H., Slutske, W. S., Eisen, S. A. & Potenza, M. N. Associations between obsessive-compulsive classes and pathological gambling in a national cohort of male twins. JAMA Psychiatry 72, 342–349 (2015).

    Article  PubMed  Google Scholar 

  75. Slutske, W. S. et al. Common genetic vulnerability for pathological gambling and alcohol dependence in men. Arch. Gen. Psychiatry 57, 666–674 (2000).

    Article  CAS  PubMed  Google Scholar 

  76. Slutske, W. S., Zhu, G., Meier, M. H. & Martin, N. G. Genetic and environmental influences on disordered gambling in men and women. Arch. Gen. Psychiatry 67, 624–630 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  77. Richmond-Rakerd, L. S., Slutske, W. S., Heath, A. C. & Martin, N. G. Genetic and environmental influences on the ages of drinking and gambling initiation: evidence for distinct aetiologies and sex differences. Addiction 109, 323–331 (2014).

    Article  PubMed  Google Scholar 

  78. Slutske, W. S., Cho, S. B., Piasecki, T. M. & Martin, N. G. Genetic overlap between personality and risk for disordered gambling: evidence from a national community-based Australian twin study. J. Abnorm. Psychol. 122, 250–255 (2013).

    Article  PubMed  Google Scholar 

  79. Slutske, W. S., Deutsch, A. R., Statham, D. J. & Martin, N. G. Local area disadvantage and gambling involvement and disorder: evidence for gene–environment correlation and interaction. J. Abnorm. Psychol. 124, 606–622 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  80. Hillemacher, T. et al. Alterations in DNA-methylation of the dopamine-receptor 2 gene are associated with abstinence and health care utilization in individuals with a lifetime history of pathologic gambling. Prog. Neuropsychopharmacol. Biol. Psychiatry 63, 30–34 (2015).

    Article  CAS  PubMed  Google Scholar 

  81. Hillemacher, T. et al. Dopamine-receptor 2 gene-methylation and gambling behavior in relation to impulsivity. Psychiatry Res. 239, 154–155 (2016).

    Article  CAS  PubMed  Google Scholar 

  82. Yao, Y. H., Yip, S. W. & Potenza, M. N. in Principles of Addiction Medicine 5th edn (eds Ries, R. K., Fiellin, D. A., Miller, S. C. & Saitz, R.) (Lippincott Williams & Wilkins, 2014).

  83. Leeman, R. F. & Potenza, M. N. A targeted review of the neurobiology and genetics of behavioural addictions: an emerging area of research. Can. J. Psychiatry 58, 260–273 (2013).

    Article  PubMed  Google Scholar 

  84. Lobo, D. S. S. & Kennedy, J. L. Genetic aspects of pathological gambling: a complex disorder with shared genetic vulnerabilities. Addiction 104, 1454–1465 (2009).

    Article  PubMed  Google Scholar 

  85. Lind, P. A. et al. Genome-wide association study of a quantitative disordered gambling trait. Addict. Biol. 18, 511–522 (2013).

    Article  CAS  PubMed  Google Scholar 

  86. Lang, M. et al. Genome-wide association study of pathological gambling. Eur. Psychiatry 36, 38–46 (2016).

    Article  CAS  PubMed  Google Scholar 

  87. Grant, J. E. et al. A proof of concept study of tolcapone for pathological gambling: relationships with COMT genotype and brain activation. Eur. Neuropsychopharmacol. 23, 1587–1596 (2013).

    Article  CAS  PubMed  Google Scholar 

  88. Yang, B. Z., Balodis, I. M., Lacadie, C. M., Xu, J. S. & Potenza, M. N. A. Preliminary study of DBH (encoding dopamine beta-hydroxylase) genetic variation and neural correlates of emotional and motivational processing in individuals with and without pathological gambling. J. Behav. Addict. 5, 282–292 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  89. Bevilacqua, L. & Goldman, D. Genetics of impulsive behaviour. Phil. Trans. R. Soc. B 368, 20120380 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Clark, L., Boileau, I. & Zack, M. Neuroimaging of reward mechanisms in gambling disorder: an integrative review. Mol. Psychiatry 24, 674–693 (2018).

    Article  PubMed  Google Scholar 

  91. Jessup, R. K. & O’Doherty, J. P. Human dorsal striatal activity during choice discriminates reinforcement learning behavior from the gambler’s fallacy. J. Neurosci. 31, 6296–6304 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Luijten, M., Schellekens, A. F., Kühn, S., Machielse, M. W. J. & Sescousse, G. Disruption of reward processing in addiction: an image-based meta-analysis of functional magnetic resonance imaging studies. JAMA Psychiatry 74, 387–398 (2017). This work is a meta-analysis showing similarities and differences in the neural correlates of reward processing in individuals with gambling and SUDs.

    Article  PubMed  Google Scholar 

  93. Koehler, S., Hasselmann, E., Wustenberg, T., Heinz, A. & Romanczuk-Seiferth, N. Higher volume of ventral striatum and right prefrontal cortex in pathological gambling. Brain Struct. Funct. 220, 469–477 (2015).

    Article  PubMed  Google Scholar 

  94. Contreras-Rodriguez, O. et al. Cocaine-specific neuroplasticity in the ventral striatum network are linked to delay discounting and drug relapse. Addiction 110, 1953–1962 (2015).

    Article  PubMed  Google Scholar 

  95. Clark, L. et al. Striatal dopamine D2/D3 receptor binding in pathological gambling is correlated with mood-related impulsivity. Neuroimage 63, 40–46 (2012).

    Article  CAS  PubMed  Google Scholar 

  96. Lawrence, A. D., Brooks, D. J. & Whone, A. L. Ventral striatal dopamine synthesis capacity predicts financial extravagance in Parkinson’s disease. Front. Psychol. 4, 90 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  97. Boileau, I. et al. In vivo evidence for greater amphetamine-induced dopamine release in pathological gambling: a positron emission tomography study with [11C]-(+)-PHNO. Mol. Psychiatry 19, 1305–1313 (2014).

    Article  CAS  PubMed  Google Scholar 

  98. Chase, H. W. & Clark, L. Gambling severity predicts midbrain response to near-miss outcomes. J. Neurosci. 30, 6180–6187 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  99. Boileau, I. et al. The D2/3 dopamine receptor in pathological gambling: a positron emission tomography study with [11C]-(+)-propyl-hexahydro-naphtho-oxazin and [11C]raclopride. Addiction 108, 953–963 (2013).

    Article  PubMed  Google Scholar 

  100. Potenza, M. N. Searching for replicable dopamine-related findings in gambling disorder. Biol. Psychiatry 83, 984–986 (2018).

    Article  PubMed  Google Scholar 

  101. Potenza, M. N. How central is dopamine to pathological gambling or gambling disorder? Front. Behav. Neurosci. 7, 206 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  102. Nutt, D. J., Lingford-Hughes, A., Erritzoe, D. & Stokes, P. R. The dopamine theory of addiction: 40 years of highs and lows. Nat. Rev. Neurosci. 16, 305–312 (2015).

    Article  CAS  PubMed  Google Scholar 

  103. Molina, J. A. et al. Pathologic gambling in Parkinson’s disease: a behavioral manifestation of pharmacologic treatment? Mov Disord. 15, 869–872 (2000).

    Article  CAS  PubMed  Google Scholar 

  104. Steeves, T. D. et al. Increased striatal dopamine release in Parkinsonian patients with pathological gambling: a [11C]raclopride PET study. Brain 132, 1376–1385 (2009).

    Article  CAS  PubMed  Google Scholar 

  105. Weintraub, D. et al. Dopamine agonist use is associated with impulse control disorders in Parkinson’s disease. Arch. Neurol. 63, 969–973 (2006).

    Article  PubMed  PubMed Central  Google Scholar 

  106. Joutsa, J. et al. Mesolimbic dopamine release is linked to symptom severity in pathological gambling. Neuroimage 60, 1992–1999 (2012).

    Article  CAS  PubMed  Google Scholar 

  107. Worhunsky, P. D. et al. Regional and source-based patterns of [11C]-(+)-PHNO binding potential reveal concurrent alterations in dopamine D2 and D3 receptor availability in cocaine-use disorder. Neuroimage 148, 343–351 (2017).

    Article  CAS  PubMed  Google Scholar 

  108. Heinz, A. et al. Correlation between dopamine D2 receptors in the ventral striatum and central processing of alcohol cues and craving. Am. J. Psychiatry 161, 1783–1789 (2004).

    Article  PubMed  Google Scholar 

  109. Volkow, N. D. et al. Decreased striatal dopaminergic responsiveness in detoxified cocaine-dependent subjects. Nature 386, 830–833 (1997).

    Article  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  111. Allain, F., Minogianis, E. A., Roberts, D. C. & Samaha, A. N. How fast and how often: the pharmacokinetics of drug use are decisive in addiction. Neurosci. Biobehav. Rev. 56, 166–179 (2015).

    Article  PubMed  Google Scholar 

  112. Potenza, M. N. et al. Gambling urges in pathological gambling: a functional magnetic resonance imaging study. Arch. Gen. Psychiatry 60, 828–836 (2003).

    Article  PubMed  Google Scholar 

  113. Reuter, J. et al. Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nat. Neurosci. 8, 147–148 (2005).

    Article  CAS  PubMed  Google Scholar 

  114. Potenza, M. N. et al. An FMRI Stroop task study of ventromedial prefrontal cortical function in pathological gamblers. Am. J. Psychiatry 160, 1990–1994 (2003).

    Article  PubMed  Google Scholar 

  115. de Ruiter, M. B. et al. Response perseveration and ventral prefrontal sensitivity to reward and punishment in male problem gamblers and smokers. Neuropsychpharmacology 34, 1027–1038 (2009).

    Article  Google Scholar 

  116. Balodis, I. M. et al. Diminished frontostriatal activity during processing of monetary rewards and losses in pathological gambling. Biol. Psychiatry 71, 749–757 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  117. Kennerley, S. W., Behrens, T. E. & Wallis, J. D. Double dissociation of value computations in orbitofrontal and anterior cingulate neurons. Nat. Neurosci. 14, 1581–1589 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Wallis, J. D. & Kennerley, S. W. Contrasting reward signals in the orbitofrontal cortex and anterior cingulate cortex. Ann. NY Acad. Sci. 1239, 33–42 (2011).

    Article  PubMed  Google Scholar 

  119. van Holst, R. J., van den Brink, W., Veltman, D. J. & Goudriaan, A. E. Why gamblers fail to win: a review of cognitive and neuroimaging findings in pathological gambling. Neurosci. Biobehav. Rev. 34, 87–107 (2010).

    Article  PubMed  Google Scholar 

  120. Cohen, M. X., Krohn-Grimberghe, A., Elger, C. E. & Weber, B. Dopamine gene predicts the brain’s response to dopaminergic drug. Eur. J. Neurosci. 26, 3652–3660 (2007).

    Article  PubMed  Google Scholar 

  121. Verdejo-Garcia, A. et al. Neural substrates of cognitive flexibility in cocaine and gambling addictions. Br. J. Psychiatry 207, 158–164 (2015).

    Article  PubMed  Google Scholar 

  122. Worhunsky, P. D., Potenza, M. N. & Rogers, R. D. Alterations in functional brain networks associated with loss-chasing in gambling disorder and cocaine-use disorder. Drug Alcohol. Depend. 178, 363–371 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  123. van Holst, R. J., Chase, H. W. & Clark, L. Striatal connectivity changes following gambling wins and near-misses: associations with gambling severity. Neuroimage Clin. 5, 232–239 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  124. Miedl, S. F., Peters, J. & Buchel, C. Altered neural reward representations in pathological gamblers revealed by delay and probability discounting. Arch. Gen. Psychiatry 69, 177–186 (2012).

    Article  PubMed  Google Scholar 

  125. Beck, A. et al. Ventral striatal activation during reward anticipation correlates with impulsivity in alcoholics. Biol. Psychiatry 66, 734–742 (2009).

    Article  CAS  PubMed  Google Scholar 

  126. Andrews, M. M. et al. Individuals family history positive for alcoholism show functional magnetic resonance imaging differences in reward sensitivity that are related to impulsivity factors. Biol. Psychiatry 69, 675–683 (2011).

    Article  PubMed  Google Scholar 

  127. Craig, A. D. How do you feel — now? The anterior insula and human awareness. Nat. Rev. Neurosci. 10, 59–70 (2009).

    Article  CAS  PubMed  Google Scholar 

  128. Droutman, V., Read, S. J. & Bechara, A. Revisiting the role of the insula in addiction. Trends Cogn. Sci. 19, 414–420 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  129. Panitz, C., Wacker, J., Stemmler, G. & Mueller, E. M. Brain–heart coupling at the P300 latency is linked to anterior cingulate cortex and insula — a cardio-electroencephalographic covariance tracing study. Biol. Psychol. 94, 185–191 (2013).

    Article  PubMed  Google Scholar 

  130. Mohr, P. N., Biele, G. & Heekeren, H. R. Neural processing of risk. J. Neurosci. 30, 6613–6619 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  131. Kober, H. et al. Brain activity during cocaine craving and gambling urges: an fMRI study. Neuropsychopharmacology 41, 628–637 (2016).

    Article  CAS  PubMed  Google Scholar 

  132. Contreras-Rodriguez, O. et al. Increased corticolimbic connectivity in cocaine dependence versus pathological gambling is associated with drug severity and emotion-related impulsivity. Addict. Biol. 21, 709–718 (2016).

    Article  CAS  PubMed  Google Scholar 

  133. Clark, L., Lawrence, A. J., Astley-Jones, F. & Gray, N. Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron 61, 481–490 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  134. Brevers, D. et al. Comfort for uncertainty in pathological gamblers: a fMRI study. Behav. Brain Res. 278, 262–270 (2015).

    Article  PubMed  Google Scholar 

  135. Verdejo-Garcia, A., Clark, L. & Dunn, B. D. The role of interoception in addiction: a critical review. Neurosci. Biobehav. Rev. 36, 1857–1869 (2012).

    Article  PubMed  Google Scholar 

  136. Dedovic, K., Duchesne, A., Andrews, J., Engert, V. & Pruessner, J. C. The brain and the stress axis: the neural correlates of cortisol regulation in response to stress. Neuroimage 47, 864–871 (2009).

    Article  CAS  PubMed  Google Scholar 

  137. Guitart-Masip, M., Talmi, D. & Dolan, R. Conditioned associations and economic decision biases. Neuroimage 53, 206–214 (2010).

    Article  PubMed  Google Scholar 

  138. Shohamy, D., Myers, C. E., Hopkins, R. O., Sage, J. & Gluck, M. A. Distinct hippocampal and basal ganglia contributions to probabilistic learning and reversal. J. Cogn. Neurosci. 21, 1821–1833 (2009).

    Article  PubMed  Google Scholar 

  139. Rahman, A. S., Xu, J. & Potenza, M. N. Hippocampal and amygdalar volumetric differences in pathological gambling: a preliminary study of the associations with the behavioral inhibition system. Neuropsychopharmacology 39, 738–745 (2014).

    Article  PubMed  Google Scholar 

  140. Elman, I. et al. Yohimbine-induced amygdala activation in pathological gamblers: a pilot study. PLOS ONE 7, e31118 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  141. van Holst, R. J., Veltman, D. J., Buchel, C., van den Brink, W. & Goudriaan, A. E. Distorted expectancy coding in problem gambling: is the addictive in the anticipation? Biol. Psychiatry 71, 741–748 (2012).

    Article  PubMed  Google Scholar 

  142. Sescousse, G., Barbalat, G., Domenech, P. & Dreher, J. C. Imbalance in the sensitivity to different types of rewards in pathological gambling. Brain 136, 2527–2538 (2013).

    Article  PubMed  Google Scholar 

  143. Tschernegg, M. et al. Abnormalities of functional brain networks in pathological gambling: a graph-theoretical approach. Front. Hum. Neurosci. 7, 625 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  144. Naqvi, N. H., Gaznick, N., Tranel, D. & Bechara, A. The insula: a critical neural substrate for craving and drug seeking under conflict and risk. Ann. NY Acad. Sci. 1316, 53–70 (2014).

    Article  PubMed  Google Scholar 

  145. Yip, S. W. et al. Gray-matter relationships to diagnostic and transdiagnostic features of drug and behavioral addictions. Addict. Biol. 23, 394–402 (2018).

    Article  CAS  PubMed  Google Scholar 

  146. Joutsa, J., Saunavaara, J., Parkkola, R., Niemela, S. & Kaasinen, V. Extensive abnormality of brain white matter integrity in pathological gambling. Psychiatry Res. 194, 340–346 (2011).

    Article  PubMed  Google Scholar 

  147. van Holst, R. J., de Ruiter, M. B., van den Brink, W., Veltman, D. J. & Goudriaan, A. E. A voxel-based morphometry study comparing problem gamblers, alcohol abusers, and healthy controls. Drug Alcohol. Depend. 124, 142–148 (2012).

    Article  PubMed  Google Scholar 

  148. Zois, E. et al. Frontal cortex gray matter volume alterations in pathological gambling occur independently from substance use disorder. Addict. Biol. 22, 864–872 (2017).

    Article  PubMed  Google Scholar 

  149. Yao, Y.-W. et al. Functional and structural neural alterations in Internet gaming disorder: a systematic review and meta-analysis. Neurosci. Biobehav. Rev. 83, 313–324 (2017).

    Article  PubMed  Google Scholar 

  150. Petry, N. M. et al. An overview of and rationale for changes proposed for pathological gambling in DSM-5. J. Gambl. Stud. 30, 493–502 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  151. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 3rd edn (American Psychiatric Association, 1980).

  152. Lesieur, H. & Blume, S. The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers. Am. J. Psychiatry 144, 1184–1188 (1987).

    Article  CAS  PubMed  Google Scholar 

  153. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders 3rd edn, revised (American Psychiatric Association, 1987).

  154. Shaffer, H., LaBrie, R., Scanlan, K. & Cummings, T. Pathological gambling among adolescents: Massachusetts Gambling Screen (MAGS). J. Gambl. Stud. 10, 339–362 (1994).

    Article  CAS  PubMed  Google Scholar 

  155. Winters, K., Specker, S. & Stinchfield, R. in The Downside: Problem and Pathological Gambling (eds Marotta, J. J., Cornelius, J. A. & Eadington, W. R.) 143–148 (Univ. of Nevada, Reno, 2002).

  156. Ferris, J. & Wynne, H. The Canadian Problem Gambling Index: Final Report (Canadian Centre on Substance Abuse, 2001).

  157. Ben-Tovim, D., Esterman, A., Tolchard, B. & Battersby, M. The Victorian Gambling Screen: Project Report (Victoria Research Panel, 2001).

  158. Grant, B. F. et al. The Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV (AUDADIS-IV): reliability of alcohol consumption, tobacco use, family history of depression and psychiatric diagnostic modules in a general population sample. Drug Alcohol. Depend. 71, 7–16 (2003).

    Article  PubMed  Google Scholar 

  159. Kessler, R. C. & Üstün, T. B. The World Mental Health (WMH) survey initiative version of the World Health Organization (WHO) composite international diagnostic interview (CIDI). Int. J. Methods Psychiatr. Res. 13, 93–121 (2004).

    Article  PubMed  Google Scholar 

  160. Johnson, E. et al. The Lie/Bet Questionnaire for screening pathological gamblers. Psychol. Rep. 80, 83–88 (1997).

    Article  CAS  PubMed  Google Scholar 

  161. Toce-Gerstein, M., Gerstein, D. & Volberg, R. The NODS–CLiP: a rapid screen for adult pathological and problem gambling. J. Gambl. Stud. 25, 514–555 (2009).

    Article  Google Scholar 

  162. Volberg, R., Munck, I. & Petry, N. A quick and simple screening method for pathological and problem gamblers in addiction programs and practices. Am. J. Addict. 20, 220–227 (2011).

    Article  PubMed  PubMed Central  Google Scholar 

  163. Gebauer, L., LaBrie, R. & Shaffer, H. Optimizing DSM-IV-TR classification accuracy: a brief biosocial screen for detecting current gambling disorders among gamblers in the general household population. Can. J. Psychiatry 55, 82–90 (2010).

    Article  PubMed  Google Scholar 

  164. Room, R., Turner, N. & Ialomiteanu, A. Community effects of the opening of the Niagara casino. Addiction 94, 1449–1466 (1999).

    Article  CAS  PubMed  Google Scholar 

  165. Stinchfield, R. in The Wiley-Blackwell Handbook of Disordered Gambling (eds Richard, D. C. S., Blaszczynski, A. & Nower, L.) 165–204 (John Wiley & Sons, 2014).

  166. Winters, K. C., Stinchfield, R. D. & Fulkerson, J. Toward the development of an adolescent gambling problem severity scale. J. Gambl. Stud. 9, 63–84 (1993).

    Article  Google Scholar 

  167. Fisher, S. Measuring pathological gambling in children: the case of fruit machines in the UK. J. Gambl. Stud. 8, 263–285 (1992).

    Article  CAS  PubMed  Google Scholar 

  168. Fisher, S. Developing the DSM-IV-MR-J criteria to identify adolescent problem gambling in non-clinical populations. J. Gambl. Stud. 16, 253–273 (2000).

    Article  CAS  PubMed  Google Scholar 

  169. Wiebe, J., Wynne, H., Stinchfield, R. & Tremblay, J. The Canadian Adolescent Gambling Inventory (CAGI): Phase II Final Report (Canadian Centre on Substance Abuse, 2007).

  170. Derevensky, J. & Gupta, R. Prevalence estimates of adolescent gambling: a comparison of the SOGS-RA, DSM-IV-J, and the GA 20 questions. J. Gambl. Stud. 16, 227–251 (2000).

    Article  CAS  PubMed  Google Scholar 

  171. Sullivan, S. Don’t let an opportunity go by: validation of the EIGHT gambling screen. Int. J. Ment. Health Addict. 5, 381–389 (2007).

    Article  Google Scholar 

  172. Weintraub, D. et al. Validation of the questionnaire for impulsive-compulsive disorders in Parkinson’s disease. Mov. Disord. 24, 1461–1467 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  173. Blaszczynski, A. Harm Minimization Strategies in Gambling: An Overview of International Initiatives and Interventions (The Australian Gaming Council, 2002).

  174. Gainsbury, S. M. Review of self-exclusion from gambling venues as an intervention for problem gambling. J. Gambl. Stud. 30, 229–251 (2014).

    Article  PubMed  Google Scholar 

  175. Nordmyr, J. & Österman, K. Raising the legal gambling age in Finland: problem gambling prevalence rates in different age groups among past-year gamblers pre- and post-implementation. Int. Gambl. Stud. 16, 347–356 (2016).

    Article  Google Scholar 

  176. Slutske, W. S., Piasecki, T. M., Blaszczynski, A. & Martin, N. G. Pathological gambling recovery in the absence of abstinence. Addiction 105, 2169–2175 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  177. Courtney, K. E., Ghahremani, D. G. & Ray, L. A. The effect of alcohol priming on neural markers of alcohol cue-reactivity. Am. J. Drug Alcohol Abuse 41, 300–308 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  178. Hodgson, R., Rankin, H. & Stockwell, T. Alcohol dependence and the priming effect. Behav. Res. Ther. 17, 379–387 (1979).

    Article  CAS  PubMed  Google Scholar 

  179. Blaszczynski, A., Ladouceur, R. & Shaffer, H. A science-based framework for responsible gambling: the Reno model. J. Gambl. Stud. 20, 301–317 (2004). This study presents an initial framework for responsible gambling guidelines.

    Article  PubMed  Google Scholar 

  180. Victoria State Government: Department of Justice and Community Safety. YourPlay — Victoria’s pre-commitment scheme. Victoria State Government https://www.justice.vic.gov.au/safer-communities/gambling/yourplay-victorias-pre-commitment-scheme (2019).

  181. McCormick, A. V., Cohen, I. M. & Davies, G. Differential effects of formal and informal gambling on symptoms of problem gambling during voluntary self-exclusion. J. Gambl. Stud. 34, 1013–1031 (2018).

    Article  PubMed  Google Scholar 

  182. Nelson, S. E., Kleschinsky, J. H., LaBrie, R. A., Kaplan, S. & Shaffer, H. J. One decade of self exclusion: Missouri casino self-excluders four to ten years after enrollment. J. Gambl. Stud. 26, 129–144 (2010).

    Article  PubMed  Google Scholar 

  183. British Columbia Responsible & Problem Gambling Program. GameSense. BC Responsible & Problem Gambling Program https://www.bcresponsiblegambling.ca/responsible-gambling/gamesense (2014).

  184. Ladouceur, R., Shaffer, P., Blaszczynski, A. & Shaffer, H. J. Responsible gambling: a synthesis of the empirical evidence. Addict. Res. Theory 25, 225–235 (2017).

    Article  Google Scholar 

  185. Hing, N., Sproston, K., Brook, K. & Brading, R. The structural features of sports and race betting inducements: issues for harm minimisation and consumer protection. J. Gambl. Stud. 33, 685–704 (2017).

    Article  PubMed  Google Scholar 

  186. Blaszczynski, A. A critical examination of the link between gaming machines and gambling-related harm. J. Gambl. Business Econ. 7, 55–76 (2013).

    Google Scholar 

  187. St-Pierre, R., Walker, D., Derevensky, J. & Gupta, R. How availability and accessibility of gambling venues influence problem gambling: a review of the literature. Gaming Law Rev. Econ. 8, 150–172 (2014).

    Google Scholar 

  188. Binde, P. Gambling Advertising: A Critical Research Review (The Responsible Gambling Trust, 2014).

  189. Binde, P. A Bibliography of Empirical Studies on Gambling Advertising 2nd edn (University of Gothenburg, Sweden, 2018).

  190. King, D. L., Russell, A., Gainsbury, S., Delfabbro, P. H. & Hing, N. The cost of virtual wins: an examination of gambling-related risks in youth who spend money on social casino games. J. Behav. Addict. 5, 401–409 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  191. Kim, H. S., Wohl, M. J. A., Salmon, M. M., Gupta, R. & Derevensky, J. Do social casino gamers migrate to online gambling? An assessment of migration rate and potential predictors. J. Gambl. Stud. 31, 1819–1831 (2015).

    Article  PubMed  Google Scholar 

  192. Zendle, D. & Cairns, P. Video game loot boxes are linked to problem gambling: results of a large-scale survey. PLOS ONE 13, e0206767 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  193. Potenza, M. N. et al. Correlates of at-risk/problem Internet gambling in adolescents. J. Am. Acad. Child Adolesc. Psychiatry 50, 150–159 (2011).

    Article  PubMed  Google Scholar 

  194. Bristow, L. A., Bilevicius, E., Stewart, S. H., Goldstein, A. L. & Keough, M. T. Solitary gambling mediates the risk pathway from anxiety sensitivity to excessive gambling: evidence from a longitudinal ecological momentary assessment study. Psychol. Addict. Behav. 32, 689–696 (2018).

    Article  PubMed  Google Scholar 

  195. Productivity Commission. Gambling Productivity Commission Inquiry Report (Australian Government, 2010).

  196. Williams, R. J., West, B. L. & Simpson, R. I. Prevention of Problem Gambling: A Comprehensive Review of the Evidence and Identified Practices (Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care, 2012).

  197. Todirita, I. & Lupu, V. Gambling prevention program among children. J. Gambl. Stud. 29, 161–169 (2013).

    Article  PubMed  Google Scholar 

  198. Campbell, C., Derevensky, J., Meerkamper, E. & Cutajar, J. The influence of cultural background on parental perceptions of adolescent gambling behaviour: a Canadian study. Int. J. Ment. Health Addict. 10, 537–550 (2012).

    Article  Google Scholar 

  199. Derevensky, J., St-Pierre, R., Temcheff, C. & Gupta, R. Teacher awareness and attitudes regarding adolescent risky behaviours: is adolescent gambling perceived to be a problem? J. Gambl. Stud. 30, 435–451 (2014).

    Article  PubMed  Google Scholar 

  200. Temcheff, C., Derevensky, J., St-Pierre, R., Gupta, R. & Martin, I. Beliefs and attitudes of mental health professionals with respect to gambling and other high risk behaviors in schools. Int. J. Ment. Health Addict. 12, 716–729 (2014).

    Article  Google Scholar 

  201. LaPlante, D. A. & Shaffer, H. J. Understanding the influence of gambling opportunities: expanding exposure models to include adaptation. Am. J. Orthopsychiatry 77, 616–623 (2007).

    Article  PubMed  Google Scholar 

  202. Walker, M. et al. Framework for reporting outcomes in problem gambling treatment research: the Banff, Alberta Consensus. Addiction 101, 504–511 (2006). This work presents consensus guidelines for how best to assess for outcomes in trials testing treatments for GD.

    Article  PubMed  Google Scholar 

  203. Pickering, D., Keen, B., Entwistle, G. & Blaszczynski, A. Measuring treatment outcomes in gambling disorders: a systematic review. Addiction 113, 411–426 (2018).

    Article  PubMed  Google Scholar 

  204. Stewart, R. M. & Brown, R. I. An outcome study of Gamblers Anonymous. Br. J. Psychiatry 152, 284–288 (1988).

    Article  CAS  PubMed  Google Scholar 

  205. Hodgins, D. C., Peden, N. & Cassidy, E. The association between comorbidity and outcome in pathological gambling: a prospective follow-up of recent quitters. J. Gambl. Stud. 21, 255–271 (2005).

    Article  PubMed  Google Scholar 

  206. Petry, N. M. Patterns and correlates of Gamblers Anonymous attendance in pathological gamblers seeking professional treatment. Addict. Behav. 28, 1049–1062 (2003).

    Article  PubMed  Google Scholar 

  207. Petry, N. M. Pathological Gambling: Etiology, Comorbidity and Treatment (American Psychological Association, 2005).

  208. Ladouceur, R. et al. Group therapy for pathological gamblers: a cognitive approach. Behav. Res. Ther. 41, 587–596 (2003).

    Article  CAS  PubMed  Google Scholar 

  209. Sylvain, C., Ladouceur, R. & Boisvert, J. M. Cognitive and behavioral treatment of pathological gambling: a controlled study. J. Consult. Clin. Psychol. 65, 727–732 (1997).

    Article  CAS  PubMed  Google Scholar 

  210. Pallesen, S., Mitsem, M., Kvale, G., Johnsen, B. H. & Molde, H. Outcome of psychological treatments of pathological gambling: a review and meta-analysis. Addiction 100, 1412–1422 (2005).

    Article  PubMed  Google Scholar 

  211. Petry, N. M., Ginley, M. K. & Rash, C. J. A systematic review of treatments for problem gambling. Psychol. Addict. Behav. 31, 951 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  212. Menchon, J., Mestre-Bach, G., Steward, T., Fernández-Aranda, F. & Jiménez-Murcia, S. An overview of gambling disorder: from treatment approaches to risk factors [version 1; peer review: 2 approved]. F1000Res. 7, 434 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  213. Cowlishaw, S. et al. Psychological therapies for pathological and problem gambling. Cochrane Database Syst. Rev. 11, CD008937 (2012).

    PubMed  Google Scholar 

  214. Carlbring, P. & Smit, F. Randomized trial of Internet-delivered self-help with telephone support for pathological gamblers. J. Consult. Clin. Psychol. 76, 1090–1094 (2008).

    Article  PubMed  Google Scholar 

  215. Petry, N. M. et al. Cognitive-behavioral therapy for pathological gamblers. J. Consult. Clin. Psychol. 74, 555–567 (2006). This work is a large-scale randomized clinical trial demonstrating the efficacy of CBT in the treatment of DSM-IV pathological gambling.

    Article  PubMed  Google Scholar 

  216. Miller, W. R. & Rollnick, S. Motivational Interviewing: Preparing People to Change Addictive Behavior (Guilford Press, 1991).

  217. Grant, J. E. et al. Imaginal desensitisation plus motivational interviewing for pathological gambling: randomised controlled trial. Br. J. Psychiatry 195, 266–267 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  218. Hodgins, D. C., Currie, S. R. & el-Guebaly, N. Motivational enhancement and self-help treatments for problem gambling. J. Consult. Clin. Psychol. 69, 50–57 (2001).

    Article  CAS  PubMed  Google Scholar 

  219. Hodgins, D. C., Currie, S., el-Guebaly, N. & Peden, N. Brief motivational treatment for problem gambling: a 24-month follow-up. Psychol. Addict. Behav. 18, 293–296 (2004).

    Article  PubMed  Google Scholar 

  220. Hodgins, D. C., Currie, S. R., Currie, G. & Fick, G. H. Randomized trial of brief motivational treatments for pathological gamblers: more is not necessarily better. J. Consult. Clin. Psychol. 77, 950–960 (2009).

    Article  PubMed  Google Scholar 

  221. Hodgins, D. C., Currie, S. R., el-Guebaly, N. & Diskin, K. M. Does providing extended relapse prevention bibliotherapy to problem gamblers improve outcome? J. Gambl. Stud. 23, 41–54 (2007).

    Article  PubMed  Google Scholar 

  222. Cunningham, J. A., Hodgins, D. C., Toneatto, T. & Murphy, M. A randomized controlled trial of a personalized feedback intervention for problem gamblers. PLOS ONE 7, e31586 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  223. Cunningham, J. A., Hodgins, D. C., Toneatto, T., Rai, A. & Cordingley, J. Pilot study of a personalized feedback intervention for problem gamblers. Behav. Ther. 40, 219–224 (2009).

    Article  PubMed  Google Scholar 

  224. Larimer, M. E. et al. Brief motivational feedback and cognitive behavioral interventions for prevention of disordered gambling: a randomized clinical trial. Addiction 107, 1148–1158 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  225. Petry, N. M., Weinstock, J., Morasco, B. J. & Ledgerwood, D. M. Brief motivational interventions for college student problem gamblers. Addiction 104, 1569–1578 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  226. Petry, N. M., Weinstock, J., Ledgerwood, D. M. & Morasco, B. A randomized trial of brief interventions for problem and pathological gamblers. J. Consult. Clin. Psychol. 76, 318–328 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  227. Petry, N. M., Rash, C. J. & Alessi, S. M. A randomized controlled trial of brief interventions for problem gambling in substance abuse treatment patients. J. Consult. Clin. Psychol. 84, 874–886 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  228. Carlbring, P., Jonsson, J., Josephson, H. & Forsberg, L. Motivational interviewing versus cognitive behavioral group therapy in the treatment of problem and pathological gambling: a randomized controlled trial. Cogn. Behav. Ther. 39, 92–103 (2010).

    Article  PubMed  Google Scholar 

  229. Toneatto, T. & Gunaratne, M. Does the treatment of cognitive distortions improve clinical outcomes for problem gambling? J. Contemp. Psychother. 39, 221–229 (2009).

    Article  Google Scholar 

  230. Chen, P., Jindani, F., Perry, J. & Turner, N. L. Mindfulness and problem gambling treatment. Asian J. Gambl. Issues Public Health 4, 2 (2014).

    Article  Google Scholar 

  231. Maynard, B. R., Wilson, A. N., Labuzienski, E. & Whiting, S. W. Mindfulness-based approaches in the treatment of disordered gambling: a systematic review and meta-analysis. Res. Soc. Work Pract. 28, 348–362 (2018).

    Article  Google Scholar 

  232. Challet-Bouju, G., Bruneau, M., Group, I., Victorri-Vigneau, C. & Grall-Bronnec, M. Cognitive remediation interventions for gambling disorder: a systematic review. Front. Psychol. 8, 1961 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  233. Chebli, J.-L., Blaszczynski, A. & Gainsbury, S. M. Internet-based interventions for addictive behaviours: a systematic review. J. Gambl. Stud. 32, 1279–1304 (2016).

    Article  PubMed  Google Scholar 

  234. Naish, K. R., Vedelago, L., MacKillop, J. & Amlung, M. Effects of neuromodulation on cognitive performance in individuals exhibiting addictive behaviour: a systematic review protocol. Syst. Rev. 7, 90 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  235. Pallesen, S. et al. Outcome of pharmacological treatments of pathological gambling: a review and meta-analysis. J. Clin. Psychopharmacol. 27, 357–364 (2007).

    Article  PubMed  Google Scholar 

  236. Bartley, C. A. & Bloch, M. H. Meta-analysis: pharmacological treatment of pathological gambling. Expert Rev. Neurother. 13, 887–894 (2013).

    Article  CAS  PubMed  Google Scholar 

  237. Bullock, S. A. & Potenza, M. N. Pathological gambling: neuropsychopharmacology and treatment. Curr. Psychopharmacol. 1, 67–85 (2012).

    CAS  Google Scholar 

  238. Grant, J. E., Schreiber, L. R. & Odlaug, B. L. Phenomenology and treatment of behavioural addictions. Can. J. Psychiatry 58, 252–259 (2013).

    Article  PubMed  Google Scholar 

  239. Theile, J. W., Morikawa, H., Gonzales, R. A. & Morrisett, R. A. GABAergic transmission modulates ethanol excitation of ventral tegmental area dopamine neurons. Neuroscience 172, 94–103 (2011).

    Article  CAS  PubMed  Google Scholar 

  240. Kim, S. W., Grant, J. E., Adson, D. E. & Shin, Y. C. Double-blind naltrexone and placebo comparison study in the treatment of pathological gambling. Biol. Psychiatry 49, 914–921 (2001).

    Article  CAS  PubMed  Google Scholar 

  241. Grant, J. E., Kim, S. W. & Hartman, B. K. A double-blind, placebo-controlled study of the opiate antagonist naltrexone in the treatment of pathological gambling urges. J. Clin. Psychiatry 69, 783–789 (2008).

    Article  CAS  PubMed  Google Scholar 

  242. Grant, J. E. et al. Multicenter investigation of the opioid antagonist nalmefene in the treatment of pathological gambling. Am. J. Psychiatry 163, 303–312 (2006).

    Article  PubMed  Google Scholar 

  243. Grant, J. E., Odlaug, B. L., Potenza, M. N., Hollander, E. & Kim, S. W. A. Multi-center, double-blind, placebo-controlled study of the opioid antagonist nalmefene in the treatment of pathological gambling. Br. J. Psychiatry 197, 330–331 (2010).

    Article  PubMed  Google Scholar 

  244. Grant, J., Kim, S., Hollander, E. & Potenza, M. Predicting response to opiate antagonists and placebo in the treatment of pathological gambling. Psychopharmacology 200, 521–527 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  245. Kovanen, L. et al. A randomised, double-blind, placebo-controlled trial of as-needed naltrexone in the treatment of pathological gambling. Eur. Addict. Res. 22, 70–79 (2016).

    Article  PubMed  Google Scholar 

  246. Potenza, M. N. & Hollander, E. in Neuropsychopharmacology: The 5th Generation of Progress (eds Davis, K. L., Charney, D., Coyle, J. T. & Nemeroff, C. B.) 1725–1741 (Lippincott Williams & Wilkins, 2002).

  247. Potenza, M. N. Neurobiology of gambling behaviors. Curr. Opin. Neurobiol. 23, 660–667 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  248. Goudriaan, A. E., Oosterlaan, J., de Beurs, E. & Van den Brink, W. Pathological gambling: a comprehensive review of biobehavioral findings. Neurosci. Biobehav. Rev. 28, 123–141 (2004).

    Article  PubMed  Google Scholar 

  249. Fong, T., Kalechstein, A., Bernhard, B., Rosenthal, R. & Rugle, L. A double-blind, placebo-controlled trial of olanzapine for the treatment of video poker pathological gamblers. Pharmacol. Biochem. Behav. 89, 298–303 (2008).

    Article  CAS  PubMed  Google Scholar 

  250. McElroy, S. L., Nelson, E. B., Welge, J. A., Kaehler, L. & Keck, P. E. J. Olanzapine in the treatment of pathological gambling: a negative randomized placebo-controlled trial. J. Clin. Psychiatry 69, 433–440 (2008).

    Article  CAS  PubMed  Google Scholar 

  251. Zack, M. & Poulos, C. X. A. D2 antagonist enhances the rewarding and priming effects of a gambling episode in pathological gamblers. Neuropsychopharmacology 32, 1678–1686 (2007).

    Article  CAS  PubMed  Google Scholar 

  252. Zack, M. & Poulos, C. X. Amphetamine primes motivation to gamble and gambling-related semantic networks in problem gamblers. Neuropsychopharmacology 29, 195–207 (2004).

    Article  CAS  PubMed  Google Scholar 

  253. Black, D. W. et al. Bupropion in the treatment of pathological gambling: a randomized, double-blind, placebo-controlled, flexible-dose study. J. Clin. Psychopharmacol. 27, 143–150 (2007).

    Article  CAS  PubMed  Google Scholar 

  254. Hodgins, D. C., Stea, J. N. & Grant, J. E. Gambling disorders. Lancet 378, 1874–1876 (2011).

    Article  PubMed  Google Scholar 

  255. Tunbridge, E. M., Bannerman, D. M., Sharp, T. & Harrison, P. J. Catechol-o-methyltransferase inhibition improves set-shifting performance and elevates stimulated dopamine release in the rat prefrontal cortex. J. Neurosci. 24, 5331–5335 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  256. Cocker, P. J. & Winstanley, C. A. Irrational beliefs, biases and gambling: exploring the role of animal models in elucidating vulnerabilities for the development of pathological gambling. Behav. Brain Res. 279, 259–273 (2015).

    Article  CAS  PubMed  Google Scholar 

  257. Winstanley, C. A. & Clark, L. Translational models of gambling-related decision-making. Curr. Top. Behav. Neurosci. 28, 93–120 (2016).

    Article  CAS  PubMed  Google Scholar 

  258. Cocker, P. J., Hosking, J. G., Murch, W. S., Clark, L. & Winstanley, C. A. Activation of dopamine D4 receptors within the anterior cingulate cortex enhances the erroneous expectation of reward on a rat slot machine task. Neuropsychopharmacology 105, 186–195 (2016).

    CAS  Google Scholar 

  259. Cocker, P. J., Lin, M. Y., Barrus, M. M., Le Foll, B. & Winstanley, C. A. The agranular and granular insula differentially contribute to gambling-like behavior on a rat slot machine task: effects of inactivation and local infusion of a dopamine D4 agonist on reward expectancy. Psychopharmacology 233, 3135–3147 (2016).

    Article  CAS  PubMed  Google Scholar 

  260. Cocker, P. J. & Winstanley, C. A. in Gambling Disorder (eds Heinz, A., Romanczuk-Seiferth, N. & Potenza, M. N.) 101–125 (Springer, 2019).

  261. Kalivas, P. W., Volkow, N. & Seamans, J. Unmanageable motivation in addiction: a pathology in prefrontal–accumbens glutamate transmission. Neuron 45, 647–650 (2005).

    Article  CAS  PubMed  Google Scholar 

  262. Kalivas, P. W. & Volkow, N. D. The neural basis of addiction: a pathology of motivation and choice. Am. J. Psychiatry 162, 1403–1413 (2005).

    Article  PubMed  Google Scholar 

  263. Kalivas, P. W. The glutamate homeostasis hypothesis of addiction. Nat. Rev. Neurosci. 10, 561–572 (2009).

    Article  CAS  PubMed  Google Scholar 

  264. Kalivas, P. W. & Volkow, N. D. New medications for drug addiction hiding in glutamatergic neuroplasticity. Mol. Psychiatry 16, 974–986 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  265. Nordin, C., Gupta, R. C. & Sjodin, I. Cerebrospinal fluid amino acids in pathological gamblers and healthy controls. Neuropsychobiology 56, 152–158 (2007).

    Article  CAS  PubMed  Google Scholar 

  266. Grant, J. E., Kim, S. W. & Odlaug, B. L. N-Acetyl cysteine, a glutamate-modulating agent, in the treatment of pathological gambling: a pilot study. Biol. Psychiatry 62, 652–657 (2007).

    Article  CAS  PubMed  Google Scholar 

  267. Blaszczynski, A. & Nower, L. Imaginal desensitisation. J. Creat. Ment. Health 2, 1–14 (2003).

    Google Scholar 

  268. Grant, J. E. et al. A randomized, placebo-controlled trial of N-acetylcysteine plus imaginal desensitization for nicotine-dependent pathological gamblers. J. Clin. Psychiatry 75, 39–45 (2014).

    Article  CAS  PubMed  Google Scholar 

  269. Dowling, N. A., Merkouris, S. S. & Lorains, F. K. Interventions for comorbid problem gambling and psychiatric disorders: advancing a developing field of research. Addict. Behav. 58, 21–30 (2016).

    Article  CAS  PubMed  Google Scholar 

  270. Yip, S. & Potenza, M. Treatment of gambling disorders. Curr. Treat Options Psychiatry 1, 189–203 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  271. Hollander, E., Pallanti, S., Allen, A., Sood, E. & Rossi, N. B. Does sustained-release lithium reduce impulsive gambling and affective instability versus placebo in pathological gamblers with bipolar spectrum disorders? Am. J. Psychiatry 162, 137–145 (2005).

    Article  PubMed  Google Scholar 

  272. de Brito, A. M. et al. Topiramate combined with cognitive restructuring for the treatment of gambling disorder: a two-center, randomized, double-blind clinical trial. J. Gambl. Stud. 33, 249–263 (2017).

    Article  PubMed  Google Scholar 

  273. Grant, J. E. & Potenza, M. N. Escitalopram treatment of pathological gambling with co-occurring anxiety: an open-label pilot study with double-blind discontinuation. Int. Clin. Psychopharmacol. 21, 203–209 (2006).

    Article  PubMed  Google Scholar 

  274. Grant, J. E. & Kim, S. W. Quality of life in kleptomania and pathological gambling. Compr. Psychiatry 46, 34–37 (2005).

    Article  PubMed  Google Scholar 

  275. Scherrer, J. F. et al. Effect of genes, environment, and lifetime co-occurring disorders on health-related quality of life in problem and pathological gamblers. Arch. Gen. Psychiatry 62, 677–683 (2005).

    Article  PubMed  Google Scholar 

  276. Kim, H. S., Hodgins, D. C., Bellringer, M. & Abbott, M. Gender differences among helpline callers: prospective study of gambling and psychosocial outcomes. J. Gambl. Stud. 32, 605–623 (2016).

    Article  PubMed  Google Scholar 

  277. Shek, D. T., Chan, E. M. & Wong, R. H. Associations between pathological gambling and psychiatric comorbidity among help-seeking populations in Hong Kong. ScientificWorldJournal 2012, 571434 (2012).

    PubMed  PubMed Central  Google Scholar 

  278. Leppink, E. W. & Grant, J. E. Traumatic event exposure and gambling: associations with clinical, neurocognitive, and personality variables. Ann. Clin. Psychiatry 27, 16–24 (2015).

    PubMed  Google Scholar 

  279. Loo, J. M., Shi, Y. & Pu, X. Gambling, drinking and quality of life: evidence from Macao and Australia. J. Gambl. Stud. 32, 391–407 (2016).

    Article  PubMed  Google Scholar 

  280. Sander, W. & Peters, A. Pathological gambling: influence of quality of life and psychological distress on abstinence after cognitive-behavioral inpatient treatment. J. Gambl. Stud. 25, 253–262 (2009).

    Article  PubMed  Google Scholar 

  281. Morasco, B. J. & Petry, N. M. Gambling problems and health functioning in individuals receiving disability. Disabil. Rehabil. 28, 619–623 (2006).

    Article  PubMed  Google Scholar 

  282. Pilver, C. E. & Potenza, M. N. Increased incidence of cardiovascular conditions among older adults with pathological gambling features in a prospective study. J. Addict. Med. 7, 387–393 (2013).

    Article  PubMed  Google Scholar 

  283. Grant, J. E. & Kim, S. W. Demographic and clinical features of 131 adult pathological gamblers. J. Clin. Psychiatry 62, 957–962 (2001).

    Article  CAS  PubMed  Google Scholar 

  284. Ledgerwood, D. M. et al. Who goes to treatment? Predictors of treatment initiation among gambling help-line callers. Am. J. Addict. 22, 33–38 (2013).

    Article  PubMed  Google Scholar 

  285. Ledgerwood, D. & Petry, N. M. Gambling and suicidality in treatment seeking pathological gamblers. J. Nerv. Ment. Dis. 192, 711–714 (2004).

    Article  PubMed  Google Scholar 

  286. Karlsson, A. & Håkansson, A. Gambling disorder, increased mortality, suicidality, and associated comorbidity: a longitudinal nationwide register study. J. Behav. Addict. 7, 1091–1099 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  287. Ronzitti, S. et al. Current suicidal ideation in treatment-seeking individuals in the United Kingdom with gambling problems. Addict. Behav. 74, 33–40 (2017).

    Article  PubMed  Google Scholar 

  288. Ronzitti, S., Kraus, S. W., Hoff, R. A., Clerici, M. & Potenza, M. N. Problem-gambling severity, suicidality and DSM-IV Axis II personality disorders. Addict. Behav. 82, 142–150 (2018).

    Article  PubMed  Google Scholar 

  289. Yi, S. Shame-prone gamblers and their coping with gambling loss. J. Gambl. Issues 27, 1–21 (2012).

    Google Scholar 

  290. Potenza, M. N. et al. Illegal behaviors in problem gambling: analysis of data from a gambling helpline. J. Am. Acad. Psychiatry Law 28, 389–403 (2000).

    CAS  PubMed  Google Scholar 

  291. LaPlante, D. A., Nelson, S. E., LaBrie, R. A. & Shaffer, H. J. Stability and progression of disordered gambling: lessons from longitudinal studies. Can. J. Psychiatry 53, 52–60 (2008).

    Article  PubMed  Google Scholar 

  292. Grant, J. E., Levine, L., Kim, D. & Potenza, M. N. Prevalence of impulse control disorders in adult psychiatric inpatients. Am. J. Psychiatry 162, 2184–2188 (2005).

    Article  PubMed  Google Scholar 

  293. Grant, J. E., Williams, K. A. & Potenza, M. N. Impulse-control disorders in adolescent psychiatric inpatients: co-occurring disorders and sex differences. J. Clin. Psychiatry 68, 1584–1592 (2007).

    Article  PubMed  Google Scholar 

  294. Kahn, R. S. et al. Schizophrenia. Nat. Rev. Dis. Primers 1, 15067 (2015).

    Article  PubMed  Google Scholar 

  295. Rennert, L. et al. DSM-5 gambling disorder: prevalence and characteristics in a substance use disorder sample. Exp. Clin. Psychopharmacol. 22, 50–56 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  296. Kundu, P. V. et al. Gambling-related attitudes and behaviors in adolescents having received instant (scratch) lottery tickets as gifts. J. Adolesc. Health 52, 456–464 (2013).

    Article  PubMed  Google Scholar 

  297. Xu, J. S. et al. Large-scale functional network overlap is a general property of brain functional organization: reconciling inconsistent fMRI findings from general-linear-model-based analyses. Neurosci. Biobehav. Rev. 71, 83–100 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  298. Leong, J. K., Pestilli, F., Wu, C. C., Samanez-Larkin, G. R. & Knutson, B. White-matter tract connecting anterior insula to nucleus accumbens correlates with reduced preference for positively skewed gambles. Neuron 89, 63–69 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  299. Reid, R. C., Di Tirro, C. & Fong, T. W. Mindfulness in patients with gambling disorders. J. Soc. Work Pract. Addict. 14, 327–337 (2014).

    Article  Google Scholar 

  300. Gavriel-Fried, B. The crucial role of recovery capital in individuals with a gambling disorder. J. Behav. Addict. 7, 792–799 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  301. Gavriel-Fried, B., Moretta, T. & Potenza, M. N. Modeling intrinsic spirituality in gambling disorder. Addict. Res. Treat. (in the press).

  302. Slutske, W. S., Jackson, K. M. & Sher, K. J. The natural history of problem gambling from age 18 to 29. J. Abnorm. Psychol. 112, 263–274 (2003).

    Article  PubMed  Google Scholar 

  303. Marotta, J. et al. 2016 Survey of Problem Gambling Services in the United States (Association of Problem Gambling Service Administrators, 2017).

  304. [No authors listed]. Science has a gambling problem. Nature 553, 379 (2018).

  305. Potenza, M. N., Higuchi, S. & Brand, M. Call for research into a wider range of behavioural addictions. Nature 555, 30 (2018).

    Article  CAS  PubMed  Google Scholar 

  306. Dadayan, L. The Blinken Report: State Revenues from Gambling: Short-Term Relief, Long-Term Disappointment (The Nelson A. Rockefeller Institute of Government, 2016).

  307. Gainsbury, S. M. Online gambling addiction: the relationship between internet gambling and disordered gambling. Curr. Addict. Rep. 2, 185–193 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  308. Statista. Size of the online gambling market in 2017 and 2024 (in billion U.S. dollars). statista https://www.statista.com/statistics/270728/market-volume-of-online-gaming-worldwide (2019).

  309. Gainsbury, S. M., Abarbanel, B. & Blaszczynski, A. Intensity and gambling harms: exploring breadth of gambling involvement among esports bettors. Gaming Law Rev. 21, 610–615 (2017).

    Article  Google Scholar 

  310. Marchica, L., Zhao, Y., Derevensky, J. & Ivoska, W. Understanding the relationship between sports-relevant gambling and being at-risk for a gambling problem among American adolescents. J. Gambl. Stud. 33, 437–448 (2017).

    Article  PubMed  Google Scholar 

  311. Shead, N. W., Derevensky, J. L. & Paskus, T. S. Trends in gambling behavior among college student-athletes: a comparison of 2004 and 2008 NCAA Survey data. J. Gambl. Issues 29, 1–21 (2014).

    Google Scholar 

  312. Deans, E. G., Thomas, S. L., Derevensky, J. & Daube, M. The influence of marketing on the sports betting attitudes and consumption behaviours of young men: implications for harm reduction and prevention strategies. Harm Reduct. J. 14, 5 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  313. Trendacosta, K. The next generation of slot machines will be way more immersive. GIZMODO https://io9.gizmodo.com/the-next-generation-of-slot-machines-will-be-way-more-i-1663053193 (2014).

  314. Martinelli, D. Skin gambling: have we found the millennial goldmine or imminent trouble? Gaming. Law Rev. 21, 557–565 (2017).

    Google Scholar 

  315. King, D. L. & Delfabbro, P. H. Video game monetization (for example, ‘loot boxes’): a blueprint for practical social responsibility measures. Int. J. Ment. Health Addict. 17, 166–179 (2019).

    Article  Google Scholar 

  316. Hern, A. Video games are unlocking child gambling. This has to be reined in. The Guardian https://www.theguardian.com/commentisfree/2017/dec/28/video-games-unlock-child-gambling-loot-box-addiction (2017).

  317. World Health Organization. QE21 hazardous gambling or betting. ICD-11 https://icd.who.int/dev11/l-m/en#/http%3a%2f%2fid.who.int%2ficd%2fentity%2f233747706 (2019).

  318. Shaffer, H. J. & Korn, D. A. Gambling and related mental disorders: a public health analysis. Annu. Rev. Public Health 23, 171–212 (2002).

    Article  PubMed  Google Scholar 

  319. Leeman, R. F., Grant, J. E. & Potenza, M. N. Behavioral and neurological foundations for the moral and legal implications of intoxication, addictive behaviors and disinhibition. Behav. Sci. Law 27, 237–259 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  320. Stinchfield, R. Reliability, validity. and classification accuracy of a measure of DSM-IV diagnostic criteria for pathological gambling. Am. J. Psychiatry 160, 180–182 (2003).

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The research for and preparation of this report was supported in part by grants R01 DA039136, K01DA039299 and R21 DA042900 from the National Institutes of Health; the Connecticut State Department of Mental Health and Addiction Services; the Connecticut Mental Health Center; the Connecticut Council on Problem Gambling; and a Center of Excellence in Gambling Research Award from the National Center for Responsible Gaming. This work was also partially supported by the Peter Boris Centre for Addictions Research and Gambling Research Exchange of Ontario. This work was also partially supported by a Career Development Fellowship of the Australian Medical Research Future Fund (MRF1141214). A.V.-G. is supported by a Career Development Fellowship of the Australian Medical Research Future Fund (MRF1141214). The funding agencies did not provide input or comment on the content of the manuscript, and the content of the manuscript reflects the contributions and thoughts of the authors and does not necessarily reflect the views of the funding agencies.

Author information

Authors and Affiliations

Authors

Contributions

Introduction (M.N.P.); Epidemiology (S.W.Y. and M.N.P.); Mechanisms/pathophysiology (A.V.-G., S.W.Y., M.N.P. and I.M.B.); Diagnosis, screening and prevention (N.M.P. and J.D.); Management (N.M.P. and J.E.G.); Quality of life (J.E.G.); Outlook (M.N.P.); Overview of Primer (M.N.P.). The authors alone are responsible for the content and writing of this manuscript.

Corresponding author

Correspondence to Marc N. Potenza.

Ethics declarations

Competing interests

The authors report no conflicts of interest with respect to the content of this manuscript. M.N.P. has consulted for and advised Shire, INSYS, RiverMend Health, Addiction Policy Forum, Game Day Data, the National Council on Problem Gambling, Opiant/Lightlake Therapeutics and Jazz Pharmaceuticals; has received unrestricted research support from Mohegan Sun Casino and grant support from the National Center for Responsible Gaming; has participated in surveys, mailings or telephone consultations related to drug addiction, impulse control disorders or other health topics; has consulted for and advised legal and gambling entities on issues related to addictions and impulse control disorders; provides clinical care in the Connecticut Department of Mental Health and Addiction Services Problem Gambling Services Program; has performed grant reviews for the National Institutes of Health and other agencies; has edited journals and journal sections; has given academic lectures in grand rounds, Continuing Medical Education events and other clinical or scientific venues; and has generated books or book chapters for publishers of mental health texts. S.W.Y. is on the Board of Directors for the Connecticut Council on Problem Gambling and has received funding support from the National Center for Responsible Gaming. N.M.P. served on the American Psychiatric Association Workgroup for the DSM-5, for which travel costs were covered but she received no compensation. N.M.P. also wrote a report for the National Gambling Trust, has reviewed grants for NIH and other agencies, and has served as an expert for legal cases related to gambling and impulse control disorders. I.M.B. has received funding from the National Center for Responsible Gaming and from the Gambling Research Exchange of Ontario. The other authors report no disclosures.

Additional information

It is with significant sadness that we note the passing of Dr Nancy M. Petry on 17 July 2018. Dr Petry made many important contributions to the field of gambling research and addiction research more generally. We will miss her and her important contributions in the areas of treatment development, nomenclature and mentorship, among others.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Potenza, M.N., Balodis, I.M., Derevensky, J. et al. Gambling disorder. Nat Rev Dis Primers 5, 51 (2019). https://doi.org/10.1038/s41572-019-0099-7

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41572-019-0099-7

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing