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Using latent-variable models to analyze smoking cessation clinical trial data: an example among the methadone
Dominick L Frosch1, Judith A Stein, Steve Shoptaw
1Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, USA. dfrosch@ucsd.edu
Experimental and Clinical Psychopharmacology
|September 18, 2002
Summary
This study found that increased heroin use correlated with increased tobacco use in individuals undergoing methadone treatment. Successful smoking cessation requires addressing heroin use concurrently.
Area of Science:
- Addiction research
- Clinical psychology
- Public health
Background:
- Tobacco use is highly prevalent among individuals in treatment for opioid use disorder.
- Understanding the interplay between substance use is crucial for effective treatment interventions.
Purpose of the Study:
- To examine the relationship between tobacco and illicit drug use in methadone-maintained individuals undergoing smoking cessation.
- To assess the impact of heroin and cocaine use on smoking cessation outcomes.
Main Methods:
- Latent-growth latent-variable models were used to analyze the relationship between changes in heroin, cocaine, and tobacco use.
- Longitudinal structural equation modeling assessed the link between heroin use and smoking cessation success.
Main Results:
- A significant positive correlation was observed between increased heroin use and increased tobacco use during treatment.
- While cocaine use levels related to tobacco use, their rates of change were not significantly linked.
- Higher heroin use during treatment predicted poorer smoking cessation outcomes at follow-up.
Conclusions:
- Concurrent reduction of heroin use is essential for successful smoking cessation in methadone-maintained individuals.
- Latent-growth models are effective for analyzing short-term clinical trial data in addiction research.