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.
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Increased risk for gambling addiction among AIAN might be due to other inequities faced by AIAN that are also risk factors for problematic gambling.
“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]
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 are inequities/risk factors for problematic gambling among AIAN.
“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]
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The Lancet Public Health Commission on gambling
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- 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
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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 ›
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