The effects of the macro-environment on treatment retention for problem cocaine users

Substance of choice, impact of heroin or opium on treatment retention in a multicentre randomised controlled trial in Iran

INTRODUCTION

In the Middle East and Asia, illicit opioid use exists across a spectrum between heroin and opium. The impact of primary opioid of choice on opioid agonist treatment retention has not been well evaluated previously, especially for opium tincture, an increasingly popular form of opioid agonist treatment in Iran. This study investigates the relationship between primary opioid of choice, namely heroin or opium, and retention in opium tincture and methadone treatment.

METHODS

Participants with opioid use disorder (n = 204) were randomised to receive opium tincture or methadone. All participants were categorised as mainly using opium or heroin. Bivariate analyses between treatment retention and primary opioid of choice (P < 0.05) and logistic regression were conducted.

RESULTS

Among the 191 participants included in this analysis, heroin was the primary substance of choice for 135 participants (70.7%) and opium for 56 (29.3%). Bivariate analysis showed that the opium group was more likely to be satisfied with family situation, employed and retained in treatment than the heroin group while less likely to experience incarceration and use multiple substances. When adjusting for covariates, primary opioid of choice was not significantly associated with retention in either methadone or opium tincture treatment arm.

DISCUSSION AND CONCLUSIONS

Positive factors, such as employment, housing and family support, seem to collectively explain the higher retention in treatment among those who primarily use opium compared to those who use heroin. To optimise retention in opioid agonist treatment, biopsychosocial care models should be further evaluated to improve psychosocial functioning.

Applying an ensemble classification tree approach to the prediction of completion of a 12-step facilitation intervention with stimulant abusers

The purpose of this study was to explore the selection of predictor variables in the evaluation of drug treatment completion using an ensemble approach with classification trees. The basic methodology is reviewed, and the subagging procedure of random subsampling is applied. Among 234 individuals with stimulant use disorders randomized to a 12-step facilitative intervention shown to increase stimulant use abstinence, 67.52% were classified as treatment completers. A total of 122 baseline variables were used to identify factors associated with completion. The number of types of self-help activity involvement prior to treatment was the predominant predictor. Other effective predictors included better coping self-efficacy for substance use in high-risk situations, more days of prior meeting attendance, greater acceptance of the Disease model, higher confidence for not resuming use following discharge, lower Addiction Severity Index (ASI) Drug and Alcohol composite scores, negative urine screens for cocaine or marijuana, and fewer employment problems. The application of an ensemble subsampling regression tree method utilizes the fact that classification trees are unstable but, on average, produce an improved prediction of the completion of drug abuse treatment. The results support the notion there are early indicators of treatment completion that may allow for modification of approaches more tailored to fitting the needs of individuals and potentially provide more successful treatment engagement and improved outcomes.

[Factors Associated With the Temporary Abandonment of Treatment for Disorders Due to Substance Abuse in an Institution in Medellin, Colombia]

OBJECTIVE

To determine the frequency and factors associated withtreatment drop-out in patients from a Substance User Treatment Center in Medellín, Colombia.

METHODS

A case-control study was conducted, with patients with an early treatment dropout as cases, and patients who completed the treatment as controls. Demographic data, substance use pattern, concomitant diseases, and the decision to initiate treatment were compared between cases and controls.

RESULTS

The frequency of early drop-out was 59%, but a high proportion of this drop-out (47.5%) occurred in the transition period between the program stages. The variables associated with drop-out were: psychotic disorder (OR=0.32; 95% CI, 0.11-0.91), bipolar disorder (OR=0.31; 95% CI, 0.12-0.77), heroin as the principal substance compared to alcohol (OR=6.68; 95% CI, 1.52-29.4), decision to initiate the treatment by the family compared to personal decision (OR=3.02; 95% CI, 1.28-7.17), and previous treatments (OR=1.87; 95% CI, 1.02-3.44).

CONCLUSIONS

The drop-out frequency is similar to those reported in other studies. Associated factors were found, which could be considered in order to plan strategies to improve the program results.