Abstract

Background: Many individuals undergo drug addiction treatment relapse after treatment. Additionally, a few studies have focused on the unique challenges faced by women in addiction recovery. Therefore, we aimed to identify predictors of relapse among women who have undergone drug addiction treatment to develop a more effective intervention program tailored to their needs. Methods: The present cross-sectional study evaluated 320 addicted women from Lorestan province, Iran, in 2020 who had used illegal substances. Convenience sampling was used to select participants from outpatient addiction treatment centers, triangular clinics, and rehabilitation centers. Demographic characteristics, drug use patterns, and risk factors for addiction were recorded. Predictors of relapse were evaluated using a negative binomial regression model. Results: The study included women with a mean age of 34.78±9.31 years who had a history of drug addiction relapse. Around 43.44% of the women were married and 36.88% lived with their husbands. Methamphetamine, opium, and heroin were the commonly used drugs. The study found that women with primary school education had a higher rate of relapse (IRR: 1.71, p = 0.01) and women with husbands being substance users (IRR: 1.34, p = 0.014), history of imprisonment (IRR: 1.51, p = 0.002), smoking (IRR: 1.91, p < 0.001), and alcohol consumption (IRR: 1.49, p = 0.005) were also associated with a higher rate of relapse. Conclusion: In conclusion, this study found that women with primary school education, husbands being substance users, history of imprisonment, smoking, and alcohol consumption behavior had a higher rate of relapse. By addressing the identified predictors of relapse, such programs can improve the success rate of addiction treatment and promote long-term recovery among women. In addition, this study highlights that addiction relapse is not necessarily caused by a single factor, and several different personal and environmental factors can influence this issue.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call