Adolescent substance use treatment: the moderating effects of psychopathology on treatment outcomes

Systematic review of treatment completion rates and correlates among young people accessing alcohol and other drug treatment

BACKGROUND AND AIMS

Treatment completion is associated with improved alcohol and other drug (AOD) treatment outcomes. Unfortunately, treatment disengagement is common, particularly among young people. We reviewed and synthesised research on AOD treatment completion and/or early disengagement among young people.

METHODS

We conducted a systematic review and meta-analysis of studies reporting on completion rates and/or early disengagement from psychosocial AOD treatment among adolescents and young adults. An overall estimated treatment completion rate was calculated using inverse-variance random effects meta-analysis, and random-effects meta-regression was used to identify between-study level moderators of completion rate. We completed a narrative review summarising literature on early treatment disengagement and within-study level correlates of treatment completion. Study quality was assessed using the EPHPP.

RESULTS

Of the 6158 studies screened, we retained 410 for full text review and included 98 studies in the review. Treatment completion rates were reported in 88 studies, and early disengagement rates were reported in 13. The estimated overall treatment completion rate was 59 % (95 % CI=57-61 %), with experimental studies reporting higher rates of completion than observational studies. There was limited evidence for demographic or substance-related correlates of treatment completion. Contingency management was associated with increased completion rates, as was family-based intervention.

CONCLUSIONS

Disengagement from AOD treatment among youth populations is common and contributes to poor treatment outcomes. Existing research has yielded little consensus on the factors associated with treatment completion. The use of contingency management strategies and involving family/social supports in treatment were identified as potential avenues for promoting ongoing treatment engagement.

Comparing self-report and parental report of psychopathologies in adolescents with substance use disorders

Both internalizing and externalizing psychopathologies interfere with the treatment of substance use disorders (SUD) in adolescents. Self-reports of psychopathologies are likely biased and may be validated with parental reports. We compared N = 70 standardized self-reports of adolescents entering outpatient SUD treatment (13.2-18.6 years old, 43% female) to parental reports on the same psychopathologies, and explored biases due to gender, age, SUD diagnoses and SUD severity. Bivariate bootstrapped Pearson correlation coefficients revealed several small to moderate correlations between both reporting sources (r = 0.29-0.49, all p_corrected ≤ 0.039). A repeated measures MANOVA revealed moderately stronger parental reports of adolescent psychopathologies compared to adolescent self-reports for most externalizing problems (dissocial and aggressive behaviors, p ≤ 0.016, η²_part = 0.09-0.12) and social/attention problems (p ≤ 0.012, η²_part = 0.10), but no differences for most internalizing problems (p ≥ 0.073, η²_part = 0.02-0.05). Differences were not associated with other patient or parental characteristics including age, gender, number of co-occurring diagnoses or presence/absence of a certain SUD (all p_uncorrected ≥ 0.088). We concluded that treatment-seeking German adolescents with SUD present with a multitude of extensive psychopathologies. The relevant deviation between self- and parental reports indicate that the combination of both reports might help to counteract dissimulation and other reporting biases. The generalizability of results to inpatients, psychiatry patients in general, or adolescents without SUD, as well as the validity of self- and parental reports in comparison to clinical judgements remain unknown.

Impact of Substance Use and Mental Health Comorbidity on Health Care Access in Canada

Objective: Psychological disorders and substance use comorbidity is associated with greater symptomatology and a worse prognosis. Previous research has highlighted discrepancies in the level of use of health care services in individuals experiencing comorbidity compared to those with mental disorders or substance use disorders alone. The purpose of the current study was to compare mental health service use (i.e., access, number of professionals accessed, helpfulness of services received, and number of hours of services received) among individuals with mental disorders, substance use disorders, and comorbid disorders. Methods: Participants consisted of respondents to the 2012 Canadian Community Health Survey-Mental Health (N = 25,133). The researchers used a mixture of binary logistic regressions, Poisson regressions, linear regressions, and ordinal logistic regression to explore the impact of demographic variables, psychological distress, and clinical categories on health care access. Results: The mental disorders group, OR = 0.52, p = .008, 95% CI [0.32, 0.85], d = 0.36, and the substance use disorders group, OR = 0.31, p = .001, 95% CI [0.16, 0.60], d = 0.65, were significantly less likely than the comorbid group to report having accessed a professional in the past year. There were no significant differences in the perceived level of helpfulness for interventions received or in the time spent in professional consultation when comparing the substance use disorders and mental disorders groups to the comorbid group. Conclusions: Although the level of access to health care was low overall, those with concurrent disorders were more likely to access mental health services than those with substance use disorders or mental disorders only. The findings of this study reveal various treatment gaps, especially in those experiencing substance use disorders, and reaffirm the importance of improving treatment accessibility for these individuals.

Technology-based Interventions for Preventing and Treating Substance Use Among Youth

Preventing or mitigating substance use among youth generally involves 3 different intervention frameworks: universal prevention, selective prevention, and treatment. Each of these levels of intervention poses unique therapeutic and implementation challenges. Technology-based interventions provide solutions to many of these problems by delivering evidence-based interventions in a consistent and cost-effective manner. This article summarizes the current state of the science of technology-based interventions for preventing substance use initiation and mitigating substance use and associated consequences among youth.