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Objective: We used growth mixture modeling to examine heterogeneity in treatment response in a secondary analysis of 2 randomized controlled trials testing multidimensional family therapy (MDFT), an established evidence-based therapy for adolescent drug abuse and delinquency. Method: The first study compared 2 evidence-based adolescent substance abuse treatments: individually focused cognitive-behavioral therapy and MDFT in a sample of 224 urban, low-income, ethnic minority youths (average age = 15 years, 81% male, 72% African American). The second compared a cross-systems version of MDFT (MDFT--detention to community) with enhanced services as usual for 154 youths, also primarily urban and ethnic minority (average age = 15 years, 83% male, 61% African American, 22% Latino), who were incarcerated in detention facilities. Results: In both studies, the analyses supported the distinctiveness of 2 classes of substance use severity, characterized primarily by adolescents with higher and lower initial severity; the higher severity class also had greater psychiatric comorbidity. In each study, the 2 treatments showed similar effects in the classes with lower severity/frequency of substance use and fewer comorbid diagnoses. Further, in both studies, MDFT was more effective for the classes with greater overall substance use severity and frequency and more comorbid diagnoses. Conclusions: Results indicate that for youths with more severe drug use and greater psychiatric comorbidity, MDFT produced superior treatment outcomes. (Contains 6 figures, 3 footnotes and 4 tables.)

This article examines the impact of sociodemographic characteristics and psychosocial factors on the probability and frequency of marijuana use and, for youths initiating use, on their frequency of use over four time points. The sample consists of 278 justice-involved youths completing at least one of three follow-up interviews as part of a National Institute on Drug Abuse (NIDA)-funded study. A two-part growth model was estimated to examine the probability of engaging in marijuana use and change in marijuana frequency of use over time. In addition, covariates for intervention status, gender, age, race, ethnicity, psychological functioning, alcohol use, and self-reported delinquency were included as baseline predictors in the model. The results of our two-part latent growth model reveal (1) a latent tendency to engage in marijuana use and a conditional, continuing decision on frequency of marijuana use, and (2) different patterns of relationships among age, psychosocial variables, and the probability and frequency of marijuana use. Implications for analytical, policy, and intervention service needs are discussed. (Contains 4 tables, 1 figure, and 3 footnotes.)

For the study reported here, the authors used growth mixture modeling to analyze changes in alcohol and marijuana use and the use of drug and alcohol treatment services for a sample of 180 adolescents with serious emotional disturbance (ages 12-14 years at the beginning of the 7-year longitudinal study). Three latent classes of substance users were identified, two of which exhibited significant linear increases in substance use. As expected, adolescents who were heavily involved in substance use at the beginning of the study and who significantly increased their substance use were the most likely to receive the greatest number of alcohol and drug services. Adolescents who had low levels of substance use at the beginning of the study but whose substance use increased significantly during the study received fewer services. The fact that the initially low substance-use class eventually ended up resembling the high substance-use class at the end of the 7-year study underscores the importance of collecting longitudinal data on substance use and employing the rate of "change in substance use" as an indicator of the need for treatment. Advantages of growth mixture and parallel processing modeling for studying changes in substance use and services are discussed.

F. K. Del Boca, J. Darkes, P. E. Greenbaum, and M. S. Goldman (2004) examined temporal variations in drinking during the freshmen college year and the relationship of several risk factors to these variations. Here, using the same data, the authors investigate whether a single growth curve adequately characterizes the variability in individual drinking trajectories. Latent growth mixture modeling identified 5 drinking trajectory classes: light-stable, light-stable plus high holiday, medium-increasing, high-decreasing, and heavy-stable. In multivariate predictor analyses, gender (i.e., more women) and lower alcohol expectancies distinguished the light-stable class from other trajectories; only expectancies differentiated the high-decreasing from the heavy-stable and medium-increasing classes. These findings allow for improved identification of individuals at risk for developing problematic trajectories and for development of interventions tailored to specific drinker classes.

Rates of change in behaviors in relation to community adjustment were examined for 292 participants in the 7-year longitudinal National Adolescent and Child Treatment Study (NACTS) as they transitioned to the adult world. Participants with initially higher social-adaptive behavior and whose behavior improved over time attained higher adjustment scores. (Contains references.) (Author/CR)

A study involving 109 female adolescents with serious emotional disturbances (ages 9-18) found the following risk factors for early pregnancy: being African American, low family income, dropping out of school, conduct disorder, and substance use disorder. However, according to multivariate analysis, only dropping out of school was a significant predictor. (Contains references.) (Author/CR)

This study compiled descriptive data over 7 years on 812 school-age children with serious emotional disturbance (SED), including demographic and family characteristics, level of psychological and adaptive functioning, services received in either residential mental health treatment facilities or community-based special education programs, and long-term outcomes. Results indicated that serious problems children had at the outset remained serious after seven years. (Author/PB)

This study examined gender and ethnicity as moderators of Multidimensional Family Therapy (MDFT) effectiveness for adolescent drug abuse and illustrated the utility of integrative data analysis (IDA; Bauer & Hussong, 2009) for assessing moderation. By pooling participant data from 5 independent MDFT randomized clinical trials (RCTs), IDA increased power to test moderation. Participants were 646 adolescents receiving treatment for drug use, aged 11 to 17 years (M = 15.31, SD = 1.30), with 19% female (n = 126), 14% (n = 92) European American, 35% (n = 225) Hispanic, and 51% (n = 329) African American. Participants were randomized to MDFT or active comparison treatments, which varied by study. Drug use involvement (i.e., frequency and consequences) was measured at study entry, 6-, and 12-months by a 4-indicator latent variable. Growth curve change parameters from multiple calibration samples were regressed on treatment effects overall and by moderator subgroups. MDFT reduced drug use involvement (p < .05) for all participant groups. Pooled comparison groups reduced drug use involvement only for females and Hispanics (ps < .05). MDFT was more effective than comparisons for males, African Americans, and European Americans (ps <.05; Cohen's d = 1.17, 1.95, and 1.75, respectively). For females and Hispanics, there were no significant differences between MDFT and pooled comparison treatments, Cohen's d = 0.63 and 0.19, respectively. MDFT is an effective treatment for drug use among adolescents of both genders and varied ethnicity with males, African American, and European American non-Hispanic adolescents benefitting most from MDFT. [ABSTRACT FROM AUTHOR]

Comorbidity of substance abuse disorders (SUD) and psychiatric disorders is one of the most important areas of investigation in contemporary drug abuse treatment research. This study examined the impact of psychiatric comorbidity on the treatment of 182 adolescent drug abusers in a randomized clinical trial comparing family and individual cognitive-behavioral therapy. Three distinct groups of adolescent substance abusers were compared: (1) Exclusive Substance Abusers (SUD only); (2) Externalizers (SUD + externalizing disorder); and (3) Mixed Substance Abusers (SUD + externalizing and internalizing disorder). The purpose of this study was to determine whether adolescents in these comorbid groups differed in clinical presentation and treatment response. More severe comorbidity was associated with greater family dysfunction and being female and younger at intake. An examination of substance use trajectories over time indicated that the Mixed group initially responded to treatment but returned to intake levels of substance use by 1 year post-discharge. [Copyright &y& Elsevier]

The objective of this article is to examine the effectiveness of 2 theoretically different treatments delivered in juvenile drug court--family therapy represented by multidimensional family therapy (MDFT) and group-based treatment represented by adolescent group therapy (AGT)-- on offending and substance use. Intent-to-treat sample included 112 youth enrolled in juvenile drug court (primarily male [88%], and Hispanic [59%] or African American [35%]), average age 16.1 years, randomly assigned to either family therapy (n = 55) or group therapy (n = 57). Participants were assessed at baseline and 6, 12, 18 and 24 months following baseline. During the drug court phase, youth in both treatments showed significant reduction in delinquency (average d = .51), externalizing symptoms (average d = 2.32), rearrests (average d = 1.22), and substance use (average d = 4.42). During the 24-month follow-up, family therapy evidenced greater maintenance of treatment gains than group-based treatment for externalizing symptoms (d = 0.39), commission of serious crimes (d = .38), and felony arrests (d = .96). There was no significant difference between the treatments with respect to substance use or misdemeanor arrests. The results suggest that family therapy enhances juvenile drug court outcomes beyond what can be achieved with a nonfamily based treatment, especially with respect to what is arguably the primary objective of juvenile drug courts: reducing criminal behavior and rearrests. More research is needed on the effectiveness of juvenile drug courts generally and on whether treatment type and family involvement influence outcomes. [ABSTRACT FROM AUTHOR]