Factors Associated with High-Risk Substance Use in Persons Receiving Psychiatric Treatment for a Primary Trauma- and Stressor-Related Disorder Diagnosis

Artificial Neural Network Analysis Examining Substance Use Problems Co-Occurring with Anxiety and Depressive Disorders Among Adults Receiving Mental Health Treatment

Objective: The co-occurrence of anxiety disorders, depressive disorders, and substance use problems was examined. Methods: The Mental Health Client-Level Data dataset was used to conduct logistic regression models and an artificial neural network analysis. Logistic regression analyses were conducted among adults with anxiety (n = 547,473) or depressive disorders (n = 1,610,601) as their primary diagnosis who received treatment in a community mental health center. The artificial neural network analysis was conducted with the entire sample (N = 2,158,074). Results: Approximately 30% of the sample had co-occurring high-risk substance use or substance use disorder. Characteristics including region of treatment receipt, age, education, gender, race and ethnicity, and the presence of co-occurring anxiety and depressive disorders were associated with the co-occurring high-risk substance use or a substance use disorder. Conclusions: Findings from this study highlight the importance of mental health facilities to screen for and provide integrated treatment for co-occurring disorders.

Substance use problems and disorders among adults 50 years and older receiving mental health treatment for a primary neurocognitive disorder

OBJECTIVES

This study sought to (1) identify the percentage of high-risk substance use or substance use disorder (SUD) and (2) examine the factors associated with high-risk substance use or SUD in adults aged 50 years and older receiving mental health treatment with a primary delirium or dementia diagnosis.

METHOD

This study used 7 years (2013-2019) of national administrative data on community mental health center patients aged 50 years and older with a primary delirium or dementia diagnosis receiving treatment in the United States (U.S.). To examine factors associated with the dependent variable (high-risk substance use or SUD), a multivariable binary logistic regression model was utilized.

RESULTS

The sample included 77,509 individuals who were mostly aged 65 years and older (69.7%), and did not have co-occurring high-risk substance use or SUD (90.1%). Receiving treatment in a U.S. region other than the Northeast, being younger, male, not non-Hispanic White, and having multiple mental health diagnoses had greater odds of co-occurring high-risk substance use or SUD.

CONCLUSION

One in ten persons in this sample having high-risk substance use or SUD highlights the clinical necessity for screening and subsequent treatment for co-occurring high-risk substance use among persons receiving treatment for a neurocognitive disorder.