Related Experiment Videos
Recognizing comorbidity among drug users in treatment.
Mark E Johnson1, Christiane Brems, Sheila Burke
1Department of Psychology, University of Alaska, Anchorage 99508, USA.
The American Journal of Drug and Alcohol Abuse
|May 17, 2002
Summary
This study found that 45% of clients in substance abuse treatment had co-occurring mental health conditions. Key predictors include unemployment, poor physical health, and lack of prior treatment, aiding early detection.
Area of Science:
- Psychiatry
- Addiction Medicine
- Clinical Psychology
Background:
- Comorbidity, the coexistence of substance abuse and mental health diagnoses, presents significant challenges in treatment settings.
- Identifying individuals with co-occurring conditions early is crucial for effective intervention and improved outcomes.
Purpose of the Study:
- To determine the rate and characteristics of comorbidity among clients in a substance abuse treatment program.
- To identify common intake variables predictive of co-occurring mental health concerns in individuals with substance use disorders.
Main Methods:
- A cohort of 104 clients in a substance abuse treatment setting completed intake assessments.
- Data collection included demographics, symptom inventories, the Behavior and Symptom Identification Scale (BASIS-32), and a drug and alcohol assessment.
Main Results:
- A comorbidity rate of 45% was identified within the study population.
- Significant predictors of comorbidity included absence of prior treatment, unemployment, poorer physical health, and poorer overall functioning.
- Unemployment without seeking work, relational difficulties, lack of prior outpatient treatment, and poor physical health were the strongest indicators.
Conclusions:
- Specific demographic and health-related factors at intake can predict the presence of co-occurring mental health disorders.
- These findings support the development of targeted screening tools for early identification of comorbidity.
- Early detection facilitates tailored treatment planning, potentially improving patient prognosis and recovery success.