Substance use diagnoses among patients who present to federally run mental health facilities with co-morbid ADHD and bipolar disorder between 2013-2023: a national analysis using random forest methods

BACKGROUND/OBJECTIVES: Although substance use disorder is common in patients with attention deficit hyperactivity disorder or bipolar disorder, limited recent data exist for those with these co-occurring conditions. Our study analyzes recent trends and predictors of these diagnoses. METHODS: We conducted a secondary analysis of 2013-2023 Mental Health Client-Level Data, identifying patients with co-morbid ADHD and bipolar disorder and their SUD prevalence. Joinpoint regression was used to analyze trends, and random forest models identified the most important predictors. RESULTS: < 0.0001). All patients had a documented SUD. Most patients were White (75.7%) and unemployed (1,284; 22.6%). The most common SUD diagnoses were 1) other unspecified substance dependence (665, 11.7%), 2) alcohol dependence (474, 8.3%), and 3) cannabis dependence (450, 7.9%). Key predictors included age, education, employment, and marital status. CONCLUSIONS: Our study identified the most common types of SUDs among those with co-morbid ADHD and bipolar disorder and associated risk factors. This will guide prevention and early intervention to reduce adverse outcomes.

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Publication Details

Journal
Journal of Addictive Diseases
Published
2026-10-15
DOI
https://doi.org/10.1080/10550887.2026.2733227
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
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article

Substance use diagnoses among patients who present to federally run mental health facilities with co-morbid ADHD and bipolar disorder between 2013-2023: a national analysis using random forest methods

Jamey J. Lister, Christine Ramdin, Ellen T. Kurtzman, Sally I‐Chun Kuo et al.
Journal of Addictive Diseases
Substance Abuse Treatment and Outcomes
article

Substance use diagnoses among patients who present to federally run mental health facilities with co-morbid ADHD and bipolar disorder between 2013-2023: a national analysis using random forest methods

Jamey J. Lister, Christine Ramdin, Ellen T. Kurtzman, Sally I‐Chun Kuo, Stephanie Shiau, Lewis S. Nelson, Howard Greller
article en

Abstract

BACKGROUND/OBJECTIVES: Although substance use disorder is common in patients with attention deficit hyperactivity disorder or bipolar disorder, limited recent data exist for those with these co-occurring conditions. Our study analyzes recent trends and predictors of these diagnoses. METHODS: We conducted a secondary analysis of 2013-2023 Mental Health Client-Level Data, identifying patients with co-morbid ADHD and bipolar disorder and their SUD prevalence. Joinpoint regression was used to analyze trends, and random forest models identified the most important predictors. RESULTS: < 0.0001). All patients had a documented SUD. Most patients were White (75.7%) and unemployed (1,284; 22.6%). The most common SUD diagnoses were 1) other unspecified substance dependence (665, 11.7%), 2) alcohol dependence (474, 8.3%), and 3) cannabis dependence (450, 7.9%). Key predictors included age, education, employment, and marital status. CONCLUSIONS: Our study identified the most common types of SUDs among those with co-morbid ADHD and bipolar disorder and associated risk factors. This will guide prevention and early intervention to reduce adverse outcomes.

Journal of Addictive Diseases
Rutgers, The State University of New Jersey (US), Robert Wood Johnson University Hospital (US), Johnson University (US), Rutgers Health (US), Robert Wood Johnson Foundation (US), Florida Atlantic University (US)
Good health and well-being
Openalex Percentile: Top 13%
Substance Abuse Treatment and Outcomes
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