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Showing 2 results for Relapse

Shahnaz Rimaz, Shokrolah Mohseni, Effat Sadat Merghati Khoei, Maryam Dastoorpour, Fatemeh Akbari,
Volume 10, Issue 3 (1-2013)
Abstract

Background and objectives: Relapse after treatment is a common problem among drug addicts in addiction control and prevention programs. About 80% of the addicts relapse into drug abuse within 6 months after treatment. The purpose of this study was to determine factors associated with drug abuse relapse in patients consulting two selected addiction treatment centers in Tehran. 

Material and Methods: In this case-control study, 160 relapsed patients were compared with 160 abstentious patients. A researcher-developed questionnaire was used to collect data. Chi-square test, odds ratio (OR) and logistic regression were performed for data analysis.

Results: The findings showed that factors increasing rate of relapse were smoking after relapse (OR=7.14, CI=3.855-13.244), substance-related cues (OR=6.76, CI= 3.915-11.678), interaction with addict peers (OR=6.38, CI=3.921-10398), malaise (OR=3.93, CI=2.446-6.305), and family conflict (OR=2.04, CI=1.227-3.385). Opium- and dross-addicts were found to be less likely to have a relapse than crack- or pot- users (OR= 0.208, CI-0.128- 0.336). 

Conclusion: The findings of this study reveal that relapse into drug abuse is significantly associated with personal, social, psychological and medical variables. It is recommended to 

integrate family counseling and therapeutic approaches, constant monitoring, and health care in treatment plans in order to reduce the adverse effects of factors such as family conflicts, peer pressure and drug-related cues in patients' likelihood of relapse.   


Maryam Moeini, Omran Mohammad Razzaghi, Mahmood Mahmoodi, Tahereh Pashaeie,
Volume 11, Issue 3 (1-2014)
Abstract

  Background and Aim: The objective of this study was to determine factors associated with time to relapse and, thus, retention time, of a cohort of opioid-dependents under methadone maintenance treatment, using survival models, in the Iranian National Center for Addiction Studies (INCAS).

  Materials and Methods: A total of 198 opioid-dependent clients participating in the Methadone Maintenance Treatment Program, implemented by INCAS between April 2007 and March 2011, were included in the study. A Cox proportional hazard (PH) model was applied to determine predictors of relapse time among the patients.

  Results: The data showed that 86 clients relapsed into drug use during the treatment program. The proportional hazard assumption was satisfied according to the goodness of fit test showing that Cox proportional hazard model was appropriate. Estimates of the PH model indicated that an increase of 1mg in the methadone dosage could lead to a decrease of 0.15 in hazard ratio and an increase in the length of treatment (p<0.001). Predictors for raising the probability of drug relapse included suffering from mental disorders (compared to mentally healthy: hazard ratio = 2.29, p<0.001), being a poly-substance user (compared to mono-substance users: hazard ratio = 4.80, p<0.001), and having retention experience in the past (compared to those with no previous therapy: hazard ratio = 1.90, p<0.001). Other variables entered in the model, including social and demographic variables, had no statistically significant effect on hazard ratio.

  Conclusions: Although higher methadone dosages are associated with a longer time to relapse, we recommend highly to pay special attention to providing more therapeutic and consultive services to mental health patients, poly-substance users, and individuals with a past therapy record.



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