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17 - Profiles of change in behavioral and family interventions for adolescent substance abuse and dependence

from Part IV - Empirically based interventions for adolescent substance abuse: research and practical implications

Published online by Cambridge University Press:  26 August 2009

Holly Barrett Waldron
Affiliation:
Oregon Research Institute, Eugene, OR USA
Charles W. Turner
Affiliation:
Oregon Research Institute, Eugene, OR USA
Timothy J. Ozechowski
Affiliation:
Oregon Research Institute, Eugene, OR USA
Howard A. Liddle
Affiliation:
University of Miami School of Medicine
Cynthia L. Rowe
Affiliation:
University of Miami School of Medicine
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Summary

Clinical research has yielded considerable empirical support for the efficacy of treatments for adolescent substance abuse and dependence (Dennis et al., 2003a; Liddle et al., 2001; Kaminer & Burleson, 1999; Kaminer et al., 1998; Wagner et al., 1999; Wagner & Waldron, 2001; Waldron et al., 2001). Findings from controlled clinical trials have revealed consistent patterns, signaling initial, albeit preliminary, steps toward consensus regarding promising treatment models (Deas & Thomas, 2001; Liddle & Dakof, 1995; Muck et al., 2001; Ozechowski & Liddle, 2000; Stanton & Shadish, 1997; Waldron, 1997; Waldron & Kaminer, 2004; Williams & Chang, 2000). Nevertheless, this body of findings has also revealed marked individual variability in treatment response. Even within the most efficacious models, in which the majority of adolescents achieve significant reductions in substance use, reductions vary widely, and fewer than half of treated youth remains drug or alcohol free during the year following treatment (Brown, Vik, & Creamer, 1989; Dennis et al., 2003a; Spear, Ciesla, & Skala, 1999; Waldron et al., 2001; Winters, 1999). Such differential treatment outcomes point to the importance of developing and testing treatments tailored to the unique developmental needs and substance use patterns of adolescents (Deas et al., 2000; Winters, 1999). Yet, little is currently known about how substance abuse treatments work, for whom various treatments are effective, and how the durability of treatment effects over time might be enhanced.

Type
Chapter
Information
Adolescent Substance Abuse
Research and Clinical Advances
, pp. 357 - 374
Publisher: Cambridge University Press
Print publication year: 2006

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References

Aldenderfer, M. S. & Blashfield, R. K. (1984). Cluster Analysis. Thousand Oaks, CA: Sage.
Broome, K. M., Joe, G. W., & Simpson, D. D. (2001). Engagement models for adolescents in DATOS-A. Journal of Adolescent Research, 16, 608–623.Google Scholar
Brown, S. A., Vik, P. W., & Creamer, V. A. (1989). Characteristics of relapse following adolescent substance abuse treatment. Addictive Behaviors, 14, 291–300.Google Scholar
Brown, S. A., Myers, M. G., Mott, M. A., & Vik, P. W. (1994). Correlates of success following treatment for adolescent substance abuse. Applied Preventative Psychology, 3, 61–73.Google Scholar
Brown, S. A., D'Amico, E. J., McCarthy, D. M., & Tapert, S. F. (2001). Four-year outcomes from adolescent alcohol and drug treatment. Journal of Studies on Alcohol, 62, 381–388.Google Scholar
Catalano, R. F., Hawkins, J. D., Wells, E. A., Miller, J., & Brewer, D. D. (1990–1991). Evaluation of the effectiveness of adolescent drug abuse treatment, assessment of risks for relapse, and promising approaches for relapse prevention. International Journal of the Addictions, 25, 1085–1140.Google Scholar
Chassin, L., Presson, C. C., Pitts, S. C., & Sherman, S. J. (2000). The natural history of cigarette smoking from adolescence to adulthood in a midwestern community sample: multiple trajectories and their psychosocial correlates. Health Psychology, 19, 223–231.Google Scholar
Coatsworth, J. D., Santisteban, D. A., McBride, C. K., & Saapocznik, J. (2001). Brief strategic family therapy versus community control: engagement, retention, and an exploration of the moderating role of adolescent symptom severity. Family Process, 40, 313–332.Google Scholar
Crowley, T. J., Mikulich, S. K., MacDonald, M., Young, S. E., & Zerbe, G. O. (1998). Substance-dependent, conduct-disordered adolescent males: severity of diagnosis predicts 2-year outcome. Drug and Alcohol Dependence, 49, 225–237.Google Scholar
Deas, D. & Thomas, S. E. (2001). An overview of controlled studies of adolescent substance abuse treatment. American Journal on Addictions, 10, 178–189.Google Scholar
Deas, D., Riggs, P., Langenbucher, J., Goldman, M., & Brown, S. (2000). Adolescents are not adults: developmental considerations in alcohol users. Alcoholism: Clinical and Experimental Research, 24, 232–237.Google Scholar
Dennis, M. L., Godley, S. H., Diamond, G., et al. (2003a). The Cannabis Youth Treatment (CYT) study: main findings from two radomized trials. Journal of Substance Abuse Treatment, 27, 197–213.Google Scholar
Dennis, M. L., Dawud-Noursi, S., Muck, R. D., & McDermeit, M. (2003b). The need for developing and evaluating adolescent treatment models. In Stevens, S. J. & Morrall, A. R. (eds.), Adolescent Substance Abuse Treatment in the United States: Exemplary Models from a National Evaluation Study (pp. 3–34). Binghamton, NY:Haworth Press.
Dobkin, P. L., Chabot, L., Miliantovitch, K., & Craig, W. (1998). Predictors of outcome in drug treatment of adolescent inpatients. Psychological Reports, 83, 175–186.Google Scholar
Duncan, T. E., Duncan, S. C., & Hops, H. (1998). Latent variable modeling of longitudinal and multilevel alcohol use data. Journal of Studies on Alcohol, 59, 399–408.Google Scholar
Eddy, J. M. & Chamberlain, P. (2000). Family management and deviant peer association as mediators of the impact of treatment condition on youth antisocial behavior. Journal of Consulting and Clinical Psychology, 68, 857–863.Google Scholar
Everitt, B. (2001). Cluster analysis, 4th edn. New York:Oxford University Press.
Friedman, A. S., Glickman, N. W., & Morrissey, M. R. (1990). What mothers know about their adolescents' alcohol/drug use and problems, and how mothers react to finding out about it. In Friedman, A. S. & Granick, S. (eds.), Family Therapy for Adolescent Drug Abuse (pp. 169–181). New York:Lexington Books.
Godley, S. H., Godley, M. D., & Dennis, M. L. (2001) The assertive aftercare protocol for adolescent substance abusers. In Wagner, E. F. & Waldron, H. B. (eds.), Innovations in Adolescent Substance Abuse Interventions (pp. 313–331). New York:Pergamon.
Gorman-Smith, D., Tolan, P. H., Loeber, R., & Henry, D. B. (1998). Relation of family problems to patterns of delinquent involvement among urban youth. Journal of Abnormal Child Psychology, 26, 319–333.Google Scholar
Hanish, L. D. & Tolan, P. H. (2001). Patterns of change in family-based aggression prevention. Journal of Marital and Family Therapy, 27, 213–226.Google Scholar
Huey, S. J., Henggeler, S. W., Brondino, M. J., & Pickrel, S. G. (2000). Mechanisms of change in multisystemic therapy: reducing delinquent behavior through therapist adherence and improved family and peer functioning. Journal of Consulting and Clinical Psychology, 68, 451–467.Google Scholar
Kaminer, Y. & Burleson, J. A. (1999). Psychotherapies for adolescent substance abusers: 15-month follow-up of a pilot study. American Journal on Addictions, 8, 114–119.Google Scholar
Kaminer, M. D., Burleson, J. A., Blitz, C., Sussman, J., & Rounsaville, B. J. (1998). Psychotherapy for adolescent substance abusers: a pilot study. Journal of Nervous and Mental Disease, 186, 684–690.Google Scholar
Latimer, W. W., Newcomb, M., Winters, K. C., & Stinchfield, R. D. (2000a). Adolescent substance abuse treatment outcome: the role of substance abuse problem severity, psychosocial, and treatment factors. Journal of Consulting and Clinical Psychology, 68, 684–696.Google Scholar
Latimer, W. M., Winters, K. C., Stinchfield, R., & Traver, R. E. (2000b). Demographic, individual, and interpersonal predictors of adolescent alcohol and marijuana use following treatment. Psychology of Addictive Behaviors, 14, 162–173.Google Scholar
Liddle, H. A. & Dakof, G. A. (1995). Family-based treatment for adolescent drug use: state of the science. In Rockville, MD: National Institute for Drug Abuse. Research Monograph, 156: 218–254.Google Scholar
Liddle, H. A., Dakof, G. A., Parker, K., et al. (2001). Multidimensional family therapy for adolescent drug abuse: results of a randomized clinical trial. American Journal of Drug and Alcohol Abuse, 27, 651–688.Google Scholar
Little, R. & Rubin, D. B. (1989). The analysis of social science data with missing values. Sociological Methods and Research, 18, 292–326.Google Scholar
Maisto, S. A., Pollock, N. K., Lynch, K. G., Martin, C. S., & Ammerman, R. (2001). Course of functioning in adolescents 1 year after alcohol and other drug treatment. Psychology of Addictive Behaviors, 15, 68–76.Google Scholar
McArdle, J. J. & Hamagami, F. (1996). Multilevel models from a multiple group structural equation perspective. In Marcoulides, G. & Schumacker, R. (eds.), Advanced Structural Equation Modeling Techniques (pp. 89–124). Hillsdale, NJ:Lawrence Erlbaum.
McKay, J. R., Merikle, E., Mulvaney, F. D., Weiss, R. V., & Koppenhaver, J. M. (2001). Factors accounting for cocaine use two years following initiation of continuing care. Addiction, 96, 213–225.Google Scholar
Miller, N. S., Ninonuevo, F. G., Klamen, D. L., Hoffmann, N. G., & Smith, D. E. (1997). Integration of treatment and posttreatment variables in predicting results of abstinence-based outpatient treatment after one year. Journal of Psychoactive Drugs, 29, 239–248.Google Scholar
Morral, A. R., Iguchi, M. Y., Belding, M. A., & Lamb, R. J. (1997). Natural classes of treatment response. Journal of Consulting and Clinical Psychology, 65, 673–685.Google Scholar
Muck, R., Zempolich, K. A., Titus, J. C., et al. (2001). An overview of the effectiveness of adolescent substance abuse treatment models. Youth and Society, 33, 143–168.Google Scholar
Muthén, B. (2001). Second generation structural equation modeling with a combination of categorical and continuous latent variables: new opportunities for latent class/latent growth modeling. In Sayer, A. and Collins, L. (eds.), New Methods for the Analysis of Change (pp. 291–322). Washington, DC: American Psychological Press.
Muthén, B. & Curran, P. (1997). General longitudinal modeling of individual differences in experimental designs: a latent variable framework for analysis and power estimation. Psychological Methods, 2, 371–402.Google Scholar
Muthén, B., & Muthén, L. (2000). The development of heavy drinking and alcohol-related problems from ages 18 to 37 in a US national sample. Journal of Studies on Alcohol, 61, 290–300.Google Scholar
Orwin, R. G., Ellis, B., Williams, V., & Maranda, M. (2000). Relationships between treatment components, client-level factors, and positive treatment outcomes. Journal of Psychopathology and Behavioral Assessment, 22, 383–397.Google Scholar
Ozechowski, T. J. & Liddle, H. A. (2000). Family-based therapy for adolescent drug abuse: knowns and unknowns. Clinical Child and Family Psychology Review, 3, 269–298.Google Scholar
Raudenbush, S. W. & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd edn. Newbury Park, CA: Sage.
Rosenbaum, P. R. & Rubin, D. B. (1985). Discussion of “On state education statistics”: a difficulty with regression analyses of regional test score averages. Journal of Education Statistics, 10, 326–333.Google Scholar
Schulenberg, J. E. & Maggs, J. L. (2002). A developmental perspective on alcohol use and heavy drinking during adolescence and the transition to young adulthood. Journal of Studies on Alcohol, 14, 54–70.Google Scholar
Spear, S. F., Ciesla, J. R., & Skala, . (1999). Relapse patterns among adolescents treated for chemical dependency. Substance Use and Misuse, 34, 1795–1815.Google Scholar
Stanton, M. D. & Shadish, W. R. (1997). Outcome, attrition, and family/couples treatment for drug abuse: a review of the controlled, comparative studies. Psychological Bulletin, 122, 170–191.Google Scholar
Stanton, M. D. & Todd, T. C. (1982). The Family Therapy of Drug Abuse and Addiction. New York: Guilford Press.
Szapocznik, J. & Coatsworth, J. D. (2000). An ecodevelopmental framework for organizing the influences on drug abuse: a developmental model of risk and protection. In Glantz, M. D. & Hartel, C. R. (eds.), Drug Abuse: Origins and Intervention. Washington, DC: American Psychological Press.
Wagner, E. F. & Waldron, H. B. (eds.) (2001). Innovations in the Treatment of Adolescent Substance Abuse. Philadelphia, PA: Elsevier Science.
Wagner, E. F., Brown, S., Myers, M., Monti, P. M., & Waldron, H. B. (1999). Innovations in adolescent substance abuse intervention. Alcoholism, 23, 236–249.Google Scholar
Waldron, H. B. (1997). Adolescent substance abuse and family therapy outcome: a review of randomized trials. In Ollendick, T. H. & Prinz, R. J. (eds.), Advances in Clinical Child Psychology, Vol. 19 (pp. 199–234). New York: Plenum Press.
Waldron, H. B. & Kaminer, Y. (2004). On the learning curve: cognitive–behavioral therapies for adolescent substance abuse. Addiction, 99, 93–105.Google Scholar
Waldron, H. B., Slesnick, N., Brody, J. L., Turner, C. W., & Peterson, T. R. (2001). Treatment outcomes for adolescent substance abuse at 4- and 7-month assessments. Journal of Consulting and Clinical Psychology, 69, 802–813.Google Scholar
Willett, J. B. & Sayer, A. G. (1994). Using covariance structure analysis to detect correlates and predictors of individual change over time. Psychological Bulletin, 116, 363–381.Google Scholar
Williams, R. J., Chang, S. Y., for the Addiction Centre Adolescent Research Group (2000). A comprehensive and comparative review of adolescent substance abuse treatment outcome. Clinical Psychology: Science and Practice, 7, 138–166.Google Scholar
Wills, A. W., McNamara, G., Vaccaro, D., & Hirkey, A. E. (1996). Escalated substance use: a longitudinal grouping analysis from early to middle adolescence. Journal of Abnormal Psychology, 105, 166–180.Google Scholar
Winters, K. C. (1999). Treating adolescents with substance use disorders: an overview of practice issues and treatment outcome. Substance Abuse, 20, 203–225.Google Scholar

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