The Role of Pre-Treatment Traumatic Stress Symptoms in Adolescent Substance Use Treatment Outcomes

Co-occurring trauma- and stressor-related and substance-related disorders in youth: A narrative review

Adolescence is characterized by ongoing neurodevelopment and psychosocial development, resulting in a unique window to the adverse effects of traumatic events and substance use. In addition, trauma- and stressor-related disorders and substance use disorders (SUDs) commonly co-occur in adolescents. Youth with interpersonal violence and who have experienced multiple past traumas, or poly-victimization, are at the highest risk of developing these co-occurring disorders. There is a strong bidirectional relationship between traumatic events and substance use that predisposes youth to developing post-traumatic stress symptoms (PTSS) and SUDs. PTSD and states of substance intoxication and withdrawal also exhibit overlap in symptomatology. High rates of comorbidity may be explained in part by the self-medication hypothesis, that posits that individuals use substances to temporarily alleviate trauma-related symptoms. However, this results in negative reinforcement, often with increasing patterns of substance use and worsening symptoms of hyperarousal, dysphoria, and anxiety. In addition, PTSS and substance use problems share common risk factors and neurobiologic etiology, conceptualized as the susceptibility hypothesis. Youth who experience traumatic events and/or have substance use problems access the healthcare system at multiple levels, including through acute care and crisis services. Notably, substance use in adolescence increases the likelihood of experiencing a traumatic event, and youth presenting to the emergency department for substance-related problems are at higher risk of having a PTSD. Youth presenting for mental health, behavioral, or substance-related problems should be screened for PTSS and substance use problems. Given the strong clinical overlap and bidirectional relationship, evidence-based treatment integrates management of both disorders. An interdisciplinary approach with psychotherapy, psychopharmacologic therapy, and case management is often vital to engaging and maintaining youth in treatment.

Estimating generalized propensity scores with survey and attrition weighted data

Prior work in causal inference has shown that using survey sampling weights in the propensity score estimation stage and the outcome model stage for binary treatments can result in a more robust estimator of the effect of the binary treatment being analyzed. However, to date, extending this work to continuous treatments and exposures has not been explored nor has consideration been given for how to handle attrition weights in the propensity score model. Nonetheless, generalized propensity score (GPS) analyses are being used for estimating continuous treatment effects on outcomes when researchers have observational data, and those data sets often have survey or attrition weights that need to be accounted for in the analysis. Here, we extend prior work and show with analytic results that using survey sampling or attrition weights in the GPS estimation stage and the outcome model stage for continuous treatments can result in a more robust estimator than one that does not. Simulation study results show that, although using weights in both estimation stages is sufficient for robust estimation, it is not necessary and unbiased estimation is possible in some cases under various approaches to using weights in estimation. Analysts do not know if the conditions of our simulation studies hold, so use of weights in both estimation stages might provide insurance for reducing potential bias. We discuss the implications of our results in the context of an empirical example.