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The Stimulating Nature of Gambling Behaviors: Relationships Between Stimulant Use and Gambling Among Adolescents

  • Jérémie Richard
  • Marc N. Potenza
  • William Ivoska
  • Jeffrey Derevensky
Original Paper

Abstract

Adolescence represents a significant developmental period during which experimentation with high-risk behaviors including substance use and gambling often occurs. These high-risk behaviors have been associated with multiple negative measures of social, academic and psychological functioning. Although associations have been established between alcohol use, marijuana use, mental health problems, and problem gambling in youth, research investigating possible associations between stimulant drug use and gambling is scarce. Questionnaire responses were collected from 6542 high-school students aged 12–19 years. Relationships between types and patterns of gambling with stimulant drugs [including cocaine, methamphetamine, non-medical use of stimulants, and 3,4-methylenedioxymethamphetamine (MDMA)] were examined. Chi square analyses with odds ratio calculations revealed the use of any stimulant was associated with an increased odds of gambling frequency and problem gambling among both males and females. Self-reported use of crack cocaine was associated with a higher risk of frequent gambling and use of methamphetamines was associated with a higher risk of at-risk/problem gambling. Individuals using stimulants six or more times in the past year had high likelihoods of frequent and at-risk/problem gambling behaviors. The results contribute to our understanding of stimulant drug use and its associations with gambling behaviors among high-school youth.

Keywords

Adolescence At-risk gambling Frequent gambling Stimulant use 

Notes

Funding

Dr. Potenza’s involvement was supported in part by: (1) the National Center for Responsible Gaming from a Center of Excellence Research Grant, (2) the Connecticut Department of Mental Health and Addiction Services, (3) the Connecticut Department of Mental Health and Addiction Services, and (4) Connecticut Council on Problem Gambling. The funding agencies did not provide input into the content of the manuscript beyond the grant funding. The other authors have no sources of funding to declare.

Compliance with Ethical Standards

Conflict of interest

The authors report no conflicts of interests with respect to the content of this manuscript. Dr. Potenza (directly or to Yale) has received financial support or compensation for the following. Dr. Potenza has consulted for Ironwood, Lundbeck, Shire, INSYS, RiverMend Health, Opiant/Lightlake Therapeutics, and Jazz Pharmaceuticals; has received research support from Mohegan Sun Casino, the National Center for Responsible Gaming, and Pfizer pharmaceuticals; has participated in surveys, mailings or telephone consultations related to drug addiction, impulse control disorders or other health topics; has consulted for law offices and gambling entities on issues related to addictive disorders; has provided 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 or guest-edited journals or journal sections; has given academic lectures in grand rounds, CME events and other clinical or scientific venues; and has generated books or book chapters for publishers of mental health texts.

References

  1. Afifi, T. O., LaPlante, D. A., Taillieu, T. L., Dowd, D., & Shaffer, H. J. (2014). Gambling involvement: Considering frequency of play and the moderating effects of gender and age. International Journal of Mental Health and Addiction, 12(3), 283–294.CrossRefGoogle Scholar
  2. Afifi, T. O., Nicholson, R., Martins, S. S., & Sareen, J. (2016). A longitudinal study of the temporal relation between problem gambling and mental and substance use disorders among young adults. Canadian Journal of Psychiatry, 61(2), 102–111.CrossRefPubMedPubMedCentralGoogle Scholar
  3. Barnes, G. M., Welte, J. W., Hoffman, J. H., & Tidwell, M.-C. O. (2009). Gambling, alcohol, and other substance use among youth in the United States. Journal of Studies on Alcohol and Drugs, 70(1), 134–142.CrossRefPubMedPubMedCentralGoogle Scholar
  4. Blum, K., Thanos, P. K., Oscar-Berman, M., Febo, M., Baron, D., Badgaiyan, R. D., et al. (2015). Dopamine in the brain: Hypothesizing surfeit or deficit links to reward and addiction. Journal of Reward Deficiency Syndrome, 1(3), 95–104.PubMedPubMedCentralGoogle Scholar
  5. Bogle, K. E., & Smith, B. H. (2009). Illicit methylphenidate use: A review of prevalence, availability, pharmacology, and consequences. Current Drug Abuse Reviews, 2(2), 157–176.CrossRefPubMedGoogle Scholar
  6. Brezing, C., Derevensky, J. L., & Potenza, M. N. (2010). Non-substance-addictive behaviors in youth: Pathological gambling and problematic internet use. Child and Adolescent Psychiatric Clinics of North America, 19(3), 625–641.CrossRefPubMedPubMedCentralGoogle Scholar
  7. Calado, F., Alexandre, J., & Griffiths, M. D. (2017). Prevalence of adolescent problem gambling: A systematic review of recent research. Journal of Gambing Studies, 33(2), 397–424.CrossRefGoogle Scholar
  8. Calado, F., & Griffiths, M. D. (2016). Problem gambling worldwide: An update and systematic review of empirical research (2000–2015). Journal of Behavioral Addictions, 5(4), 592–613.CrossRefPubMedPubMedCentralGoogle Scholar
  9. Campbell-Meiklejohn, D., Wakeley, J., Herbert, V., Cook, J., Scollo, P., Ray, M. K., et al. (2011). Serotonin and dopamine play complementary roles in gambling to recover losses. Neuropsychopharmacology, 36(2), 402–410.CrossRefPubMedGoogle Scholar
  10. Casey, B. J., Somerville, L. H., Gotlib, I. H., Ayduk, O., Franklin, N. T., Askren, M. K., et al. (2011). Behavioral and neural correlates of delay of gratification 40 years later. Proceedings of the National Academy of Sciences of the United States of America, 108(36), 14998–15003.CrossRefPubMedPubMedCentralGoogle Scholar
  11. Champion, K. E., Teesson, M., & Newton, N. C. (2016). Patterns and correlates of new psychoactive substance use in a sample of Australian high school students. Drug and Alcohol Review, 35(3), 338–344.CrossRefPubMedGoogle Scholar
  12. Cooper, J., Bloom, F., & Roth, R. (1991). The biochemical basis of neuropharmacology (6th ed.). New York: Oxford University Press.Google Scholar
  13. Dahl, R. E. (2004). Adolescent brain development: A period of vulnerabilities and opportunities. Keynote address. Annals of the New York Academy of Sciences, 1021, 1–22.CrossRefPubMedGoogle Scholar
  14. Delfabbro, P., King, D., & Griffiths, M. D. (2014). From adolescent to adult gambling: An analysis of longitudinal gambling patterns in South Australia. Journal of Gambling Studies, 30, 547–563.CrossRefPubMedGoogle Scholar
  15. Derevensky, J. (2012). Teen gambling: Understanding a growing epidemic. New York: Rowman & Littlefield Publishing.Google Scholar
  16. Donati, M. A., Chiesi, F., & Primi, C. (2013). A model to explain at-risk/problem gambling among male and female adolescents: Gender similarities and differences. Journal of Adolescence, 36(1), 129–137.CrossRefPubMedGoogle Scholar
  17. Geisner, I. M., Huh, D., Cronce, J. M., Lostutter, T. W., Kilmer, J., & Larimer, M. E. (2016). Exploring the relationship between stimulant use and gambling in college students. Journal of Gambling Studies, 32(3), 1001–1016.CrossRefPubMedPubMedCentralGoogle Scholar
  18. Gori, M., Potente, R., Pitino, A., Scalese, M., Bastiani, L., & Molinaro, S. (2015). Relationship between gambling severity and attitudes in adolescents: Findings from a population-based study. Journal of Gambling Studies, 31(3), 717–740.CrossRefPubMedGoogle Scholar
  19. Gray, K. M., & Squeglia, L. M. (2017). Research review: What have we learned about adolescent substance use? Journal of Child Psychology and Psychiatry.  https://doi.org/10.1111/jcpp.12783.PubMedPubMedCentralCrossRefGoogle Scholar
  20. Hodgins, D. C., Schopflocher, D. P., Martin, C. R., el-Guebaly, N., Casey, D. M., Currie, S. R., et al. (2012). Disordered gambling among higher-frequency gamblers: Who is at risk? Psychological Medicine, 42(11), 2433–2444.CrossRefPubMedGoogle Scholar
  21. Jacobs, D. F. (2004). Youth gambling in North America: Long-term trends and future prospects. In J. Derevensky & R. Gupta (Eds.), Gambling problems in youth: Theoretical and applied perspectives (pp. 1–24). New York: Klewer Academic/Plenum Publishers.Google Scholar
  22. Jessor, R. (1987). Problem-behavior theory, psychosocial development, and adolescent problem drinking. Addiction, 82(4), 331–342.CrossRefGoogle Scholar
  23. Jessor, R. (2017). Problem behavior theory and the social context: The collected works of Richard Jessor (Vol. 3). Berlin: Springer.CrossRefGoogle Scholar
  24. Johnston, L. D., O’Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2017). Monitoring the future national survey results on drug use, 1975–2016: Overview, key findings on adolescent drug use. Ann Arbor: Institute for Social Research, The University of Michigan.Google Scholar
  25. Khurana, A., Romer, D., Betancourt, L. M., & Hurt, H. (2017). Working memory ability and early drug use progression as predictors of adolescent substance use disorders. Addiction, 112, 1220–1228.CrossRefPubMedPubMedCentralGoogle Scholar
  26. Koob, G. F. (1992). Drugs of abuse: Anatomy, pharmacology and function of reward pathways. Trends in Pharmacological Sciences, 13(5), 177–184.CrossRefPubMedGoogle Scholar
  27. Koob, G. F., & Nestler, E. J. (1997). The neurobiology of drug addiction. Journal of Neuropsychiatry Clinical Neurosciences, 9(3), 482–497.CrossRefPubMedGoogle Scholar
  28. Leeman, R. F., & Potenza, M. N. (2012). Similarities and differences between pathological gambling and substance use disorders: A focus on impulsivity and compulsivity. Psychopharmacology (Berl), 219(2), 469–490.CrossRefGoogle Scholar
  29. Luna, B., & Wright, C. (2015). Adolescent brain development: Implications for the juvenile justice system. In K. Heilbrun (Ed.), APA handbook of psychology and juvenile justice (pp. 91–116). Washington: APA Publications.Google Scholar
  30. Magid, V., MacLean, M. G., & Colder, C. G. (2007). Differentiating between sensation seeking and impulsivity through their mediated relations with alcohol use and problems. Addictive Behaviors, 32, 2046–2061.CrossRefPubMedPubMedCentralGoogle Scholar
  31. McCabe, S. E., West, B. T., Schepis, T. S., & Teter, C. J. (2015). Simultaneous co-ingestion of prescription stimulants, alcohol and other drugs: A multi-cohort national study of US adolescents. Human Psychopharmacology, 30(1), 42–51.CrossRefPubMedGoogle Scholar
  32. Meyer, G., Schwertfeger, J., Exton, M. S., Janssen, O. E., Knapp, W., Stadler, M. A., et al. (2004). Neuroendocrine response to casino gambling in problem gamblers. Psychoneuroendocrinology, 29(10), 1272–1280.CrossRefPubMedGoogle Scholar
  33. Murty, V. P., Calabro, F., & Luna, B. (2016). The role of experience in adolescent cognitive development: Integration of executive, memory, and mesolimbic systems. Neuroscience and Biobehavioral Reviews, 70, 46–58.CrossRefPubMedPubMedCentralGoogle Scholar
  34. Nutt, D. J., Lingford-Hughes, A., Erritzoe, D., & Stokes, P. R. (2015). The dopamine theory of addiction: 40 years of highs and lows. Nature Reviews Neuroscience, 16(5), 305–312.CrossRefPubMedGoogle Scholar
  35. Peters, E. N., Nordeck, C., Zanetti, G., O’Grady, K. E., Serpelloni, G., Rimondo, C., et al. (2015). Relationship of gambling with tobacco, alcohol, and illicit drug use among adolescents in the USA: Review of the literature 2000–2014. The American Journal on Addictions, 24(3), 206–216.CrossRefPubMedGoogle Scholar
  36. Potenza, M. N. (2013). How cental is dopamine to pathological gambling or gambling disorder? Frontiers in Behavioral Neuroscience, 7, 206.CrossRefPubMedPubMedCentralGoogle Scholar
  37. Potenza, M. N., & Hollander, E. (2002). Pathological gambling and impulse control disorders. In C. Nemeroff, J. Coyle, D. Charney, & K. Davis (Eds.), Neuropsychopharmacology: The 5th generation of progress (pp. 1725–1741). Baltimore: Lippincott, Williams and Wilkens.Google Scholar
  38. Richard, J., & Derevensky, J. (2017). Identifying the relationship between mental health symptoms, problem behaviors and gambling among adolescents. Annals of Behavioral Science, 3(2), 30.CrossRefGoogle Scholar
  39. Romer, D. (2003). Reducing adolescent risk: Toward an integrated approach. California: Thousand Oaks.Google Scholar
  40. Romer, D., Duckworth, A. L., Sznitman, S., & Park, S. (2010). Can adolescents learn self-control? Delay of gratification in the development of control over risk taking. Prevention Science, 11(3), 319–330.  https://doi.org/10.1007/s11121-010-0171-8.CrossRefPubMedPubMedCentralGoogle Scholar
  41. Romer, D., Reyna, V. F., & Satterthwaite, T. D. (2017). Beyond stereotypes of adolescent risk taking: Placing the adolescent brain in developmental context. Developmental Cognitive Neuroscience, 27(Supplement C), 19–34.CrossRefPubMedPubMedCentralGoogle Scholar
  42. Secades-Villa, R., Martínez-Loredo, V., Grande-Gosende, A., & Fernández-Hermida, J. (2016). The relationship between impulsivity and problem gambling in adolescence. Frontiers in Psychology, 7, 1931.CrossRefPubMedPubMedCentralGoogle Scholar
  43. Self, D. W., & Nestler, E. J. (1995). Molecular mechanisms of drug reinforcement and addiction. Annual Review of Neuroscience, 18, 463–495.CrossRefPubMedGoogle Scholar
  44. Smith, G. T., Fischer, S., Cyders, M. A., Annus, A. M., Spillane, N. S., & McCarthy, D. M. (2007). On the validity and utility of discriminating among impulsivity-like traits. Assessment, 14(2), 155–170.CrossRefPubMedGoogle Scholar
  45. Spear, L. P. (2013). Adolescent neurodevelopment. Journal of Adolescent Health, 52(2), S7–S13.CrossRefPubMedPubMedCentralGoogle Scholar
  46. Splevins, K., Mireskandari, S., Clayton, K., & Blaszczynski, A. (2010). Prevalence of adolescent problem gambling, related harms and help-seeking behaviors among an Australian population. Journal of Gambling Studies, 26(2), 189–204.CrossRefPubMedGoogle Scholar
  47. Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28(1), 78–106.CrossRefPubMedPubMedCentralGoogle Scholar
  48. Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2009). The NODS-CLiP: A rapid screen for adult pathological and problem gambling. Journal of Gambling Studies, 25(4), 541–555.CrossRefPubMedPubMedCentralGoogle Scholar
  49. Welte, J. W., Barnes, G. M., Tidwell, M. C., & Hoffman, J. H. (2008). The prevalence of problem gambling among U.S. adolescents and young adults: Results from a national survey. Journal of Gambling Studies, 24, 119–133.CrossRefPubMedGoogle Scholar
  50. Welte, J. W., Barnes, G. M., Tidwell, M.-C. O., & Hoffman, J. H. (2009). Association between problem gambling and conduct disorder in a national survey of adolescents and young adults in the United States. Journal of Adolescent Health, 45(4), 396–401.CrossRefPubMedPubMedCentralGoogle Scholar
  51. Worhunsky, P. D., Malison, R. T., Rogers, R. D., & Potenza, M. N. (2014). Altered neural correlates of reward and loss processing during simulated slot-machine fMRI in pathological gambling and cocaine dependence. Drug and Alcohol Dependence, 145, 77–86.CrossRefPubMedPubMedCentralGoogle Scholar
  52. Worhunsky, P. D., Potenza, M. N., & Rogers, R. D. (2017). Alterations in functional brain networks associated with loss-chasing in gambling disorder and cocaine-use disorder. Drug and Alcohol Dependence, 178, 363–371.CrossRefPubMedPubMedCentralGoogle Scholar
  53. Yip, S. W., Desai, R. A., Steinberg, M. A., Rugle, L., Cavallo, D. A., Krishnan-Sarin, S., et al. (2011). Health/functioning characteristics, gambling behaviors, and gambling-related motivations in adolescents stratified by gambling problem severity: Findings from a high school survey. American Journal on Addictions, 20(6), 495–508.CrossRefPubMedPubMedCentralGoogle Scholar
  54. Yip, S. W., Morie, K. P., Xu, J., Constable, R. T., Malison, R. T., Carroll, K. M., et al. (2017). Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2(2), 188–195.Google Scholar
  55. Yip, S. W., Worhunsky, P. D., Xu, J., Morie, K. P., Constable, R. T., Malison, R. T., et al. (2018). Gray-matter relationships to diagnostic and transdiagnostic features of drug and behavioral addictions. Addiction Biology, 23(1), 394–402.CrossRefPubMedGoogle Scholar
  56. Zack, M., & Poulos, C. X. (2004). Amphetamine primes motivation to gamble and gambling-related semantic networks in problem gamblers. Neuropsychopharmacology, 29(1), 195–207.CrossRefPubMedGoogle Scholar
  57. Zack, M., & Poulos, C. X. (2007). A D2 antagonist enhances the rewarding and priming effects of a gambling episode in pathological gamblers. Neuropsychopharmacology, 32(8), 1678–1686.CrossRefPubMedGoogle Scholar
  58. Zack, M., & Poulos, C. X. (2009). Parallel roles for dopamine in pathological gambling and psychostimulant addiction. Current Drug Abuse Reviews, 2(1), 11–25.CrossRefPubMedGoogle Scholar
  59. Zapata, L. B., Hillis, S. D., Marchbanks, P. A., Curtis, K. M., & Lowry, R. (2008). Methamphetamine use is independently associated with recent risky sexual behaviors and adolescent pregnancy. Journal of School Health, 78(12), 641–648.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jérémie Richard
    • 1
  • Marc N. Potenza
    • 2
    • 3
  • William Ivoska
    • 4
  • Jeffrey Derevensky
    • 1
  1. 1.International Centre for Youth Gambling and High-Risk BehaviorsMcGill UniversityMontrealCanada
  2. 2.Connecticut Mental Health Center and the Departments of Psychiatry, Child Study and NeuroscienceYale UniversityNew HavenUSA
  3. 3.Connecticut Council on Problem GamblingWethersfieldUSA
  4. 4.Alcohol, Drug Addiction and Mental Health Services Board of Wood County OhioBowling GreenUSA

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