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The epidemiology of dual diagnosis
Abstract
The English language literature on the epidemiology of dual diagnosis is reviewed. The literature shows mental disorders to be significantly related to alcohol and drug use disorders. The strongest associations involve externalizing mental disorders and alcohol-drug dependence. Mental disorders are associated with alcohol-drug use, problems among users, dependence among problem users, and persistence among people with lifetime dependence. These dual diagnoses are associated with severity and persistence of both mental and alcohol-drug disorders. A wider range of mental disorders is associated with nicotine dependence. Most people with dual diagnosis report their first mental disorder occurred at an earlier age than their first substance disorder. Prospective studies confirm this temporal order, although significant predictive associations are reciprocal. Analyses comparing active and remitted mental disorders suggest that some primary mental disorders are markers and others are causal risk factors for secondary substance disorders. The article closes with a discussion of ways epidemiologic research can be used to help target and evaluate interventions aimed at preventing secondary substance use disorders by treating early-onset primary mental disorders.
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“For example, there are high rates of comorbidity between substance abuse and other Axis I conditions [747-749], schizophrenia and bipolar disorder [750], and ASD and mood and anxiety disorders [751].”
From Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings (2012) · cites this paper as [747]
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“In addition, there is an rgent need for more prospective data on the full range of disrders and specific subtypes as little attention has been paid to roaden patterns of comorbidity in studies examining the associaion between specific psychiatric and comorbid SUDs (Hall et al., 009; Kessler, 2004).”
Background
Metadata
- Authors
- Kessler, R. C.
- Affiliations
- Harvard University (US)
- Corresponding author
- Kessler, Ronald C.
- ORCID
- Kessler, Ronald C.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2004-11
- Volume
- 56
- Issue
- 10
- Pages
- 730-737
- ISSN
- 0006-3223 (ISSN-L)
- OpenAlex
- W2028877810
- Cited by
- 588
- References
- 113
- Citations by year
- 2026: 7 · 2025: 22 · 2024: 20 · 2023: 17 · 2022: 28 · 2021: 28 · 2020: 34 · 2019: 34 · 2018: 26 · 2017: 27 · 2016: 38 · 2015: 46 · 2014: 32 · 2013: 35 · 2012: 28
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Robert Wood Johnson Foundation (044708)
- National Institute of Mental Health (U01-MH60220)
- John W. Alden Trust
- National Institute on Drug Abuse
- Substance Abuse and Mental Health Services Administration
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Keywords
- dual diagnosis, alcoholism, drug addiction, nicotine dependence, early-onset mental disorders
- MeSH terms
- Mental Disorders, Cross-Sectional Studies, Humans, Prospective Studies, Tobacco Use Disorder, Comorbidity, Age of Onset, Diagnosis, Dual (Psychiatry), Disease Progression, Substance-Related Disorders
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 ›
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