The DOI matches its Crossref record; 280 of the 280 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The increased risk for gambling addiction among AIAN might be due to other inequities faced by AIAN that are also risk factors for problematic gambling.”
From Substance and Behavioral Addictions among American Indian and Alaska Native Populations (2022) · cites this paper as [89]
In the citing paper
“These inequities and risk factors include low education, unemployment, few socioeconomic opportunities, untreated historical trauma, higher rates of substance use, and having a casino nearby that serves as the main employer and source of revenue for the community [88,89,90,91].”
From Substance and Behavioral Addictions among American Indian and Alaska Native Populations (2022) · cites this paper as [89]
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
How do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657
Kessler, R. C., & Üstün, T. B. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.168 · Cited by 4,771
(1987) · American Journal of Psychiatry · doi:10.1176/ajp.144.9.1184 · Cited by 2,948
The Neural Basis of Addiction: A Pathology of Motivation and Choice
Kalivas, P. W., & Volkow, N. D. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.8.1403 · Cited by 2,757
(2012) · The Scientific World JOURNAL · doi:10.1100/tswj · Cited by 2,600
A pathways model of problem and pathological gambling
Blaszczynski, A., & Nower, L. (2002) · Addiction · doi:10.1046/j.1360-0443.2002.00015.x · Cited by 2,013
Chambers, R. A., Taylor, J. R., & Potenza, M. N. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.6.1041 · Cited by 1,719
Self-citationImpulse Control Disorders in Parkinson Disease
Weintraub, D. A., Koester, J., Potenza, M. N., Siderowf, A. D., Stacy, M. A., Voon, V., Whetteckey, J., Wunderlich, G. R., & Lang, A. E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.65 · Cited by 1,493
Self-citationThe glutamate homeostasis hypothesis of addiction
Kalivas, P. W. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2515 · Cited by 1,350
Research works printed but not linked: 19
- Blum, A. W. & Grant, J. E. Behavioral addictions and criminal responsibility. J. Am. Acad. Psychiatry Law 45, 464–471 (2017).
- Custer, R. L. Profile of the pathological gambler. J. Clin. Psychiatry 45, 35–38 (1984).
- Erbas, B. & Buchner, U. G. Pathological gambling: prevalence, diagnosis, comorbidity, and intervention in Germany. Dtsch. Arztebl. Int. 109, 173–179 (2012).
- 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). · DOI · Paper page
- Mader, J. An Evaluation of the Pathways Model of Problem Gambling Using the Quinte Longitudinal Dataset Thesis, Univ. Lethbridge (2017).
- 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).
- 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).
- Binde, P. Gambling Advertising: A Critical Research Review (The Responsible Gambling Trust, 2014).
- 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).
- Miller, W. R. & Rollnick, S. Motivational Interviewing: Preparing People to Change Addictive Behavior (Guilford Press, 1991).
- 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).
- Blaszczynski, A. & Nower, L. Imaginal desensitisation. J. Creat. Ment. Health 2, 1–14 (2003).
- 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).
- 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).
- Yi, S. Shame-prone gamblers and their coping with gambling loss. J. Gambl. Issues 27, 1–21 (2012).
- 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). · DOI
- Gavriel-Fried, B., Moretta, T. & Potenza, M. N. Modeling intrinsic spirituality in gambling disorder. Addict. Res. Treat. (in the press).
- 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).
- Martinelli, D. Skin gambling: have we found the millennial goldmine or imminent trouble? Gaming. Law Rev. 21, 557–565 (2017).
Cited by
Sorted by citations
The Lancet Public Health Commission on gambling
Wardle, H., Degenhardt, L. J., Marionneau, V., Reith, G., Livingstone, C. H., Sparrow, M. K., Tran, L. T., Biggar, B., Bunn, C., Farrell, M., et al. (2024) · The Lancet Public Health · doi:10.1016/s2468-2667(24)00167-1 · Cited by 276
Prevalence of Internet-based addictive behaviors during COVID-19 pandemic: a systematic review
Masaeli, N., & Farhadi, H. (2021) · Journal of Addictive Diseases · doi:10.1080/10550887.2021.1895962 · Cited by 260
Neurobiology of cue-reactivity, craving, and inhibitory control in non-substance addictive behaviors
Antons, S., Brand, M., & Potenza, M. N. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.116952 · Cited by 187
Self-citationChanges in Gambling Behavior during the COVID-19 Pandemic—A Web Survey Study in Sweden
Håkansson, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17114013 · Cited by 148
Moretta, T., Buodo, G., Demetrovics, Z., & Potenza, M. N. (2022) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2021.152286 · Cited by 125
Self-citation
Metadata
- Authors
- Potenza, M. N., Balodis, I. M., Derevensky, J., Grant, J. E., Petry, N. M., Verdejo-Garcia, A., & Yip, S. W.
- Affiliations
- Yale University (US)
- Peter Boris Centre for Addictions Research (CA)
- McGill University (CA)
- University of Chicago (US)
- University of Connecticut (US)
- Corresponding author
- Potenza, Marc N.
- Venue
- Nature Reviews Disease Primers
- Published
- 2019-07-25
- Volume
- 5
- Issue
- 1
- Pages
- 51-51
- ISSN
- 2056-676X (ISSN-L)
- OpenAlex
- W4211242599
- Cited by
- 437
- References
- 279
- Citations by year
- 2026: 67 · 2025: 62 · 2024: 65 · 2023: 68 · 2022: 54 · 2021: 44 · 2020: 74 · 2019: 2
- FWCI
- 6.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Reviews Disease Primers (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
- Keywords
- gambling addiction, prevalence, etiology, genetic and environmental factors, neurobiology, psychiatric comorbidity, cognitive behavioral therapy, motivational interviewing, Gamblers Anonymous, pharmacotherapy, opioid antagonists, suicide, quality of life, screening, prevention, diagnosis
- MeSH terms
- Help-Seeking Behavior, Mental Disorders, Brain, Gambling, Humans, Risk Factors, Sex Factors, Cognitive Behavioral Therapy, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review