Examining Treatment Outcomes: Differences Between Primary and Non-Primary Marijuana-Using Youths Transitioning Into Recovery

References

• Allen, J. P., Babor, T. F., Mattson, M. E., & Kadden, R. M. (2003). Matching alcoholism treatment to client heterogeneity: The genesis of Project Match. In T. F. Babor & F. K. DelBoca (Eds.), Treatment matching in alcoholism (pp. 1–14).Cambridge, England: Cambridge University Press.
   Google Scholar
• American Society of Addiction Medicine. (1991). Patient placement criteria for the treatment of psycho-active substance use disorders. Chevy Chase, MD: American Society of Addiction Medicine, Inc.
   Google Scholar
• American Society of Addiction Medicine. (2001). Patient placement criteria for the treatment of substance-related disorders, second edition-revised. Chevy Chase, MD: American Society of Addiction Medicine, Inc.
   Google Scholar
• Ammerman, S., Ryan, S., & Adelman, W. P., Committee on Substance Abuse, & Committee on Adolescence. (2015). The impact of marijuana policies on youth: Clinical, research, and legal update. Pediatrics, 135(3), e769–e785.
   PubMed Web of Science ®Google Scholar
• Armstrong, T. D., & Costello, E. J. (2002). Community studies on adolescent substance use, abuse, or dependence and psychiatric comorbidity. Journal of Consulting and Clinical Psychology, 70(6), 1224–1239.
   PubMed Web of Science ®Google Scholar
• Bottorff, J. L., Johnson, J. L., Moffat, B. M., & Mulvogue, T. (2009). Relief-oriented use of marijuana by teens. Substance Abuse Treatment, Prevention, and Policy, 4, 7.
   PubMed Web of Science ®Google Scholar
• Bonar, E. E., Walton, M. A., Cunningham, R. M., Chermack, S. T., Bohnert, A. S. B., Barry, K. L., … Blow, F. C. (2014). Computer-enhanced interventions for drug use and HIV risk in the emergency room: Preliminary results on psychological precursors of behavior change. Journal of Substance Abuse Treatment, 46(1), 5–14.
   PubMed Web of Science ®Google Scholar
• Brook, D. W., Brook, J. S., Rubenstone, E., Zhang, C., & Saar, N. S. (2011). Developmental associations between externalizing behaviors, peer delinquency, drug use, perceived neighborhood crime, and violent behavior in urban communities. Aggressive Behavior, 37, 349–361.
   PubMed Web of Science ®Google Scholar
• Brook, J. S., Adams, R. E., Balka, E. B., & Johnson, E. (2002). Early adolescent marijuana use: Risks for the transition to young adulthood. Psychological Medicine, 32(01), 79–91.
   PubMed Web of Science ®Google Scholar
• Brown, S. A., & Ramo, D. E. (2006). Clinical course of youth following treatment for alcohol and drug problems. In H. A. Liddle & C. L. Rowe (Eds.), Adolescent substance abuse: Research and clinical advances (pp. 79–103). Cambridge, England: Cambridge University Press.
   Google Scholar
• Cacciola, J. S., Alterman, A. I., DePhilippis, D., Drapkin, M. L., Valadez, C., Fala, N. C., & McKay, J. R. (2013). Development and initial evaluation of the Brief Addiction Monitor (BAM). Journal of Substance Abuse Treatment, 44(3), 256–263.
   PubMed Web of Science ®Google Scholar
• Castrucci, B. C., & Martin, S. L. (2002). The association between substance use and risky sexual behaviors among incarcerated adolescents. Maternal and Child Health Journal, 6(1), 43–47.
   PubMedGoogle Scholar
• Center for Behavioral Health Statistics and Quality. (2015). Behavioral health trends in the United States: Results from the 2014 national survey on drug use and health (HHS Publication No. SMA 15-4927, NSDUH Series H-50). Retrieved from http://www.samhsa.gov/data/
   Google Scholar
• Center for Behavioral Health Statistics and Quality. (2013). Treatment Episode Data Set (TEDS): 2001–2011. National admissions to substance abuse treatment services. Retrieved from http://www.samhsa.gov/data/2k13/TEDS2011/TEDS2011N.pdf
   Google Scholar
• Centers for Disease Control and Prevention. (2012). HIV in the United States: At a glance. Retrieved from https://www.cdc.gov/hiv/group/age/index.html
   Google Scholar
• Crane, N. A., Schuster, R. M., Fusar-Poli, P., & Gonzalez, R. (2013). Effects of cannabis on neurocognitive functioning: Recent advances, neurodevelopmental influences, and sex differences. Neuropsychological Reviews, 23(2), 117–137.
   PubMed Web of Science ®Google Scholar
• Daniel, S. S., Walsh, A. K., Goldston, D. B., Arnold, E. M., Reboussin, B. A., & Wood, F. B. (2006). Suicidality, school dropout, and reading problems among adolescents. Journal of Learning Disabilities, 39(6), 507–514.
   PubMed Web of Science ®Google Scholar
• Dennis, M. L., Chan, Y. F., & Funk, R. R. (2006). Development and validation of the GAIN Short Screener (GSS) for internalizing, externalizing and substance use disorders and crime/violence problems among adolescents and adults. American Journal on Addictions, 15(Suppl 1), 80–91.
   PubMed Web of Science ®Google Scholar
• Dennis, M. L., Dawud-Nursi, S., Muck, R. D., & McDermeit, M. (2013). The need for developing and evaluating adolescent treatment models. In A. R. Morral & S. J. Stevens (Eds.), Adolescent substance abuse treatment in the United States: Exemplary models from a national evaluation study (pp. 3–26). New York, NY: Routledge.
   Google Scholar
• Eaton, D. K., Kann, L., Kinchen, S., Shanklin, S., Flint, K. H., Hawkins, J., & Wechsler, H. (2012). Youth risk behavior surveillance-United States, 2011. Morbidity and Mortality Weekly Report. Surveillance Summaries (Washington, DC: 2002), 61(4), 1–162.
   PubMedGoogle Scholar
• Frodl, T., Schaub, A., Banac, S., Charypar, M., Jäger, M., Kümmler, P., & Meisenzahl, E. M. (2006). Reduced hippocampal volume correlates with executive dysfunctioning in major depression. Journal of Psychiatry and Neuroscience, 31(5), 316.
   PubMed Web of Science ®Google Scholar
• Fulton, H. G., Krank, M. D., & Stewart, S. H. (2012). Outcome expectancy liking: A self-generated, self-coded measure predicts adolescent substance use trajectories. Psychology of Addictive Behaviors, 26(4), 870–879.
   PubMed Web of Science ®Google Scholar
• Gastfriend, D. R., & McLellan, A. T. (1997). Treatment matching: Theoretic basis and practical implications. Medical Clinics of North America, 81, 945–966.
   PubMed Web of Science ®Google Scholar
• Gonzales, R., Ang, A., Murphy, D. A., Glik, D. C., & Anglin, M. D. (2014). Substance use recovery outcomes among a cohort of youth participating in a mobile-based texting aftercare pilot program. Journal of Substance Abuse Treatment, 47(1), 20–26.
   PubMed Web of Science ®Google Scholar
• Gonzales, R., Anglin, M. D., Beattie, R., Ong, C. A., & Glik, D. C. (2012). Perceptions of chronicity and recovery among youth in treatment for substance use problems. Journal of Adolescent Health, 51(2), 144–149.
   PubMed Web of Science ®Google Scholar
• Guttmacher Institute. (2009). Facts on sexually transmitted infections in the United States. Retrieved from https://www.guttmacher.org/fact-sheet/american-teens-sexual-and-reproductive-health
   Google Scholar
• Hasin, D. S., Keyes, K. M., Cerdá, M., Schulenberg, J., O'Malley, P. M., Galea, S., … Feng, T. (2015). Medical marijuana laws and adolescent marijuana use in the USA from 1991 to 2014: Results from annual, repeated cross-sectional surveys. The Lancet Psychiatry, 2(7), 601–606.
   PubMed Web of Science ®Google Scholar
• Hayaki, J., Hagerty, C. E., Herman, D. S., de Dios, M. A., Anderson, B. J., & Stein, M. D. (2010). Expectancies and marijuana use frequency and severity among young females. Addictive Behaviors, 35(11), 995–1000.
   PubMed Web of Science ®Google Scholar
• Hogue, A., Henderson, C. E., & Ozechowski, T. J. (2014). Evidence base on outpatient behavioral treatments for adolescent substance use: Updates and recommendations 2007–2013. Clinical Child & Adolescent Psychology, 43, 695–720.
   PubMed Web of Science ®Google Scholar
• Hser, Y. I., Grella, C. E., Hsieh, S. C., Anglin, M. D., & Brown, B. S. (1999). Prior treatment experience related to process and outcomes in DATOS. Drug and Alcohol Dependence, 57(2), 137–150.
   PubMed Web of Science ®Google Scholar
• Jacobus, J., Bava, S., Cohen-Zion, M., Mahmood, O., & Tapert, S. F. (2009). Functional consequences of marijuana use in adolescents. Pharmacology Biochemistry and Behavior, 92(4), 559–565.
   PubMed Web of Science ®Google Scholar
• Jainchill, N. (Ed.). (2012). Understanding and treating adolescent substance abuse disorders. Kingston, NJ: Civil Research Institute.
   Google Scholar
• Johnston, L. D., O'Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Miech, R. A. (2014). Monitoring the Future national survey results on drug use, 1975–2013: Volume 2. College students and adults ages 19–55. Ann Arbor, MI: Institute for Social Research, University of Michigan.
   Google Scholar
• Johnston, L. D., O'Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2014). Monitoring the Future: National survey results on drug use, 1975–2013—Overview, key findings on adolescent drug use. Ann Arbor, MI: Institute for Social Research, University of Michigan. Retrieved from http://monitoringthefuture.org/pubs/monographs/mtf-overview2014.pdf.
   Google Scholar
• Kaminer, Y., Bukstein, O., & Tarter, R. E. (1991). The teen-addiction severity index: Rationale and reliability. Substance Use & Misuse, 26(2), 219–226.
   Google Scholar
• Kaminer, Y., & Godley, M. (2010). From assessment reactivity to aftercare for adolescent substance abuse: Are we there yet? Child and Adolescent Psychiatric Clinics of North America,19, 577–590.
   PubMed Web of Science ®Google Scholar
• Kaminer, Y., Wagner, E., Plummer, B., & Seifer, R. (1993). Validation of the teen addiction severity index. The American Journal of the Addictions, 2(3), 250–254.
   Google Scholar
• Karim, R., & Chaudhri, P. (2012). Behavioral addictions: An overview. Journal of Psychoactive Drugs, 44(1), 5–17.
   PubMed Web of Science ®Google Scholar
• Keyes, K. M., Brady, J. E., & Li, G. (2015). Effects of minimum legal drinking age on alcohol and marijuana use: Evidence from toxicological testing data for fatally injured drivers aged 16 to 25 years. Injury Epidemiology, 2(1), 1–10.
   Google Scholar
• King, K. A., Vidourek, R. A., & Hoffman, A. R. (2012). Sex and grade level differences in marijuana use among youth. Journal of Drug Education, 42(3), 361–377.
   PubMed Web of Science ®Google Scholar
• Klein, C., di Menza, S., Arfken, C., & Schuster, C. R. (2002). Interaction effects of treatment setting and client characteristics on retention and completion. Journal of Psychoactive Drugs, 34, 39–50.
   PubMed Web of Science ®Google Scholar
• Kristjansson, S. D., Agrawal, A., Lynskey, M. T., & Chassin, L. A. (2012). Marijuana expectancies and relationships with adolescent and adult marijuana use. Drug and Alcohol Dependence, 126(1), 102–110.
   PubMed Web of Science ®Google Scholar
• Lynskey, M. T., Coffey, C., Degenhardt, L., Carlin, J. B., & Patton, G. (2003). A longitudinal study of the effects of adolescent cannabis use on high school completion. Addiction, 98, 685–692.
   PubMed Web of Science ®Google Scholar
• Macleod, J., Oakes, R., Copello, A., Crome, I., Egger, M., Hickman, M., … Smith, G. D. (2004). Psychological and social sequelae of cannabis and other illicit drug use by young people: A systematic review of longitudinal, general population studies. The Lancet, 363(9421), 1579–1588.
   PubMed Web of Science ®Google Scholar
• Malone, D. T., Hill, M. N., & Rubino, T. (2010). Adolescent cannabis use and psychosis: Epidemiology and neurodevelopmental models. British Journal of Pharmacology, 160(3), 511–522.
   PubMed Web of Science ®Google Scholar
• Mattson, M. E., & Allen, J. P. (1991). Research on matching alcoholic patients to treatments: Findings, issues, and implications. Journal of Addictive Diseases, 11, 33–49.
   PubMedGoogle Scholar
• McLellan, A. T., Woody, G. E., Luborsky, L., O'Brien, C. P., & Druley, K. A. (1983). Increased effectiveness of substance abuse treatment: A prospective study of patient treatment “matching.” Journal of Nervous and Mental Disease, 171, 597–605.
   PubMed Web of Science ®Google Scholar
• Mee-Lee, D., & Gastfriend, D. R. (2008). Patient placement criteria. In M. Galanter & H. D. Kleber (Eds.), The American Psychiatric Publishing textbook of substance abuse treatment (4th ed., pp. 79–91). Washington DC: American Psychiatric Publishing Inc.
   Google Scholar
• Mee-Lee, D., Shulman, G. D., Fishman, M. J., Gastfriend, D. R., & Miller, M. M. (Eds.). (2013). The ASAM criteria: Treatment criteria for addictive, substance-related, and co-occurring conditions (3rd ed.). Carson City, NV: The Change Companies.
   Google Scholar
• Meier, M. H., Caspi, A., Ambler, A., Harrington, H., Houts, R., Keefe, R. S., & Moffitt, T. E. (2012). Persistent cannabis users show neuropsychological decline from childhood to midlife. Proceedings of the National Academy of Sciences, 109(40), E2657–E2664.
   PubMed Web of Science ®Google Scholar
• National Conference of State Legislatures. (2015). State medical marijuana laws. Retrieved from http://www.ncsl.org/research/health/state-medical-marijuana-laws.aspx
   Google Scholar
• National Institute on Drug Abuse. (1991). Risk behavior assessment. Rockville, MD: Author.
   Google Scholar
• National Institute on Drug Abuse. (2014). Principles of adolescent substance use disorder treatment: A research-based guide. Bethesda, MD: National Institute on Drug Abuse. Retrieved from http://www.drugabuse.gov/publications/principles-adolescent-substance-use-disorder-treatment-research-based-guide/
   Google Scholar
• Needle, R., Fisher, D. G., Weatherby, N., Chitwood, D., Brown, B., Cesari, H., … Braunstein, M. (1995). Reliability of self-reported HIV risk behaviors of drug users. Psychology of Addictive Behaviors, 9(4), 242–250.
   Web of Science ®Google Scholar
• Pasch, K. E., Nelson, M. C., Lytle, L. A., Moe, S. G., & Perry, C. L. (2008). Adoption of risk-related factors through early adolescence: Associations with weight status and implications for causal mechanisms. Journal of Adolescent Health, 43(4), 387–393.
   PubMed Web of Science ®Google Scholar
• Pew Research Center. (2013). General social survey, 1969–2013. Washington, DC: Pew Research Center.
   Google Scholar
• Piehler, T. F., & Winters, K. C. (2015). Parental involvement in brief interventions for adolescent marijuana use. Psychology of Addictive Behaviors, 29(3), 512–521.
   PubMed Web of Science ®Google Scholar
• Poulin, C., & Graham, L. (2001). The association between substance use, unplanned sexual intercourse and other sexual behaviours among adolescent students. Addiction, 96(4), 607–621.
   PubMed Web of Science ®Google Scholar
• Rocchetti, M., Crescini, A., Borgwardt, S., Caverzasi, E., Politi, P., Atakan, Z., & Fusar-Poli, P. (2013). Is cannabis neurotoxic for the healthy brain? A meta-analytical review of structural brain alterations in non-psychotic users. Psychiatry and Clinical Neurosciences, 67(7), 483–492.
   PubMed Web of Science ®Google Scholar
• Schepis, T. S., Adinoff, B., & Rao, U. (2008). Neurobiological processes in adolescent addictive disorders. American Journal on Addictions, 17(1), 6–23.
   PubMed Web of Science ®Google Scholar
• Schwarz, N. (1999). Self-reports: How the questions shape the answers. American Psychologist, 54(2), 93.
   Web of Science ®Google Scholar
• Schweinsburg, A. D., Nagel, B. J., Schweinsburg, B. C., Park, A., Theilmann, R. J., & Tapert, S. F. (2008). Abstinent adolescent marijuana users show altered fMRI response during spatial working memory. Psychiatry Research: Neuroimaging, 163(1), 40–51.
   PubMed Web of Science ®Google Scholar
• Sharon, E., Krebs, C., Turner, W., Desai, N., Binus, G., Penk, W., & Gastfriend, D. R. (2003). Predictive validity of the ASAM patient placement criteria for hospital utilization. In D. R. Gastfriend (Ed.), Addiction treatment matching: Research foundations of the American Society of Addiction Medicine (ASAM) criteria (pp. 79–93). New York, NY: The Haworth Medical Press.
   Google Scholar
• Substance Abuse and Mental Health Services Administration. (2013, September 29). Substance use by adolescents on an average day is alarming [ SAMHSA News Release]. Retrieved from http://www.samhsa.gov/newsroom/press-announcements/201308220415
   Google Scholar
• Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. (2014). Treatment Episode Data Set (TEDS): 2002–2012. National Admissions to Substance Abuse Treatment Services. BHSIS Series S-71, HHS Publication No. (SMA) 14-4850. Rockville, MD: Substance Abuse and Mental Health Services Administration.
   Google Scholar
• Sussman, S., Skara, S., & Ames, S. L. (2008). Substance abuse among adolescents. Substance Use & Misuse, 43(12–13), 1802–1828.
   PubMed Web of Science ®Google Scholar
• Tanner-Smith, E. E., Wilson, S. J., & Lipsey, M. W. (2013). The comparative effectiveness of outpatient treatment for adolescent substance abuse: A meta-analysis. Journal of Substance Abuse Treatment, 44(2), 145–158.
   PubMed Web of Science ®Google Scholar
• Tapert, S. F., Aarons, G. A., Sedlar, G. R., & Brown, S. A. (2001). Adolescent substance use and sexual risk-taking behavior. Journal of Adolescent Health, 28(3), 181–189.
   PubMed Web of Science ®Google Scholar
• Titus, J. C., Godley, S. H., & White, M. K. (2007). A post-treatment examination of adolescents’ reasons for starting, quitting, and continuing the use of drugs and alcohol. Journal of Child & Adolescent Substance Abuse, 16(2), 31–49.
   Web of Science ®Google Scholar
• Volkow, N. D., Baler, R. D., Compton, W. M., & Weiss, S. R. (2014). Adverse health effects of marijuana use. The New England Journal of Medicine, 370(23), 2219–2227.
   PubMed Web of Science ®Google Scholar
• Walters, G. D. (2015). Criminal and substance involvement from adolescence to adulthood: Precursors, mediators, and long-term effects. Justice Quarterly, 32, 729–747.
   Web of Science ®Google Scholar
• White, W., & Godley, S. (2007). Adolescent recovery: What we need to know. Student Assistance Journal, 19(2), 20–25.
   Google Scholar
• Wilkinson, S. T., van Schalkwyk, G. I., Davidson, L., & D'Souza, D. C. (2015). The formation of marijuana risk perception in a population of substance abusing patients. Psychiatric Quarterly,1–11.
   PubMed Web of Science ®Google Scholar
• Williams, R. J., & Chang, S. Y. (2000). A comprehensive and comparative review of adolescent substance abuse treatment outcome. Clinical Psychology: Science and Practice, 7, 138–166.
   Web of Science ®Google Scholar
• Winters, K. C., Botzet, A. M., & Fahnhorst, T. (2011). Advances in adolescent substance abuse treatment. Current Psychiatry Reports, 13(5), 416–421.
   PubMed Web of Science ®Google Scholar
• Winters, K. C., Botzet, A. M., Fahnhorst, T., Stinchfield, R., & Koskey, R. (2009). Adolescent substance abuse treatment: A review of evidence-based research. In C. Leukefeld, T. Gullotta, & M. Staton Tindall (Eds.), Adolescent substance abuse: Evidence-based approaches to prevention and treatment (pp. 73–96). New York, NY: Springer Science + Business Media.
   Google Scholar
• Winters, K. C., Tanner-Smith, E. E., Bresani, E., & Meyers, K. (2014). Current advances in the treatment of adolescent drug use. Adolescent Health and Medical Therapy, 20, 199–210.
   Google Scholar
• Young, D. W., Dembo, R., & Henderson, C. E. (2007). A national survey of substance abuse treatment for juvenile offenders. Journal of Substance Abuse Treatment, 32(3), 255–266.
   PubMed Web of Science ®Google Scholar