Reducing Risk for Adolescent Substance Misuse with Text-Delivered Counseling to Adolescents and Parents

References

• Ali, M. M., Dean, D., Jr., Lipari, R., Dowd, W. N., Aldridge, A. P., & Novak, S. P. (2015). The mental health consequences of nonmedical prescription drug use among adolescents. Journal of Mental Health Policy and Economics, 18, 3–15.
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman and Company.
   Google Scholar
• Barber, B. K., Maughan, S. L., & Olsen, J. A. (2005). Patterns of parenting across adolescence. New Directions for Child and Adolescent Development, 108, 5–16.
   Google Scholar
• Barnett, T. E., Thompson, E. L., Litt, D. M., & Lewis, M. A. (2019). Correlates of nonmedical prescription opioid among U.S. adolescents. American Journal of Prevention Medicine, 57(5), 175–179. https://doi.org/10.1016/j.amepre.2019.05.006
   PubMed Web of Science ®Google Scholar
• Biggar Jr., R. W., Forsyth, C. J. Chen, J., & Burstein, K. (2016). The poly-drug user: Examining associations between drugs used by adolescents. Deviant Behavior, 38(10), 1186–1196. https://doi.org/10.1080/01639625.2016.1246022
   Google Scholar
• Bonar, E. E., Coughlin, L., Roche, J. S., Philyaw-Kotov, M. L., Bixler, E. A., Sinelnikov, S., Kolosh, A., Cihak, M. J., Cunningham, R. M., & Walton, M. A. (2020). Prescription opioid misuse among adolescents and emerging adults in the United States: A scoping review. Preventive Medicine, 132, 1–16. https://doi.org/10.1016/j.ypmed.2019.105972
   Google Scholar
• Calear, A. L., & Christensen, H. (2010). Review of internet‐based prevention and treatment programs for anxiety and depression in children and adolescents. Medical Journal of Australia, 192(S11), S12–S14. https://doi.org/10.5694/j.1326-5377.2010.tb03686.x
   PubMedGoogle Scholar
• Coatsworth, J. D., Duncan, L. G., Nix, R. L., Greenberg, M. G., *Gayles, J. G., Bamberger, K. T., Berrena, E., & Demi, M. A. (2015). Integrating mindfulness with parent training: Effects of the Mindfulness-enhanced Strengthening Families Program. Developmental Psychology, 51(1), 26–35. https://doi.org/10.1037/a0038212
   PubMed Web of Science ®Google Scholar
• Compton, W. M., Jones, C. M., Baldwin, G. T., Harding, F. M., Blanco, C., & Wargo, E. M. (2019). Targeting youth to prevent later substance use disorder: Underutilized response to the US opioid crisis. American Journal of Public Health, 109(S3), S185–S189. https://doi.org/10.2105/AJPH.2019.305020.
   Google Scholar
• Cottrell, S. A., Branstetter, S., Cottrell, L., Harris, C. V., Rishel, C., & Stanton, B. F. (2007). Development and validation of a parental monitoring instrument: Measuring how parents monitor adolescents’ activities and risk behaviors. The Family Journal, 15(4), 328–335. https://doi.org/10.1177/1066480707303748
   Google Scholar
• Crowley, D. M., Jones, D. E., Coffman, D. L., & Greenberg, M. T. (2014). Can we build an efficient response to the prescription drug abuse epidemic? Assessing the cost effectiveness of universal prevention in the PROSPER trial. Preventive Medicine, 62, 71–77. https://doi.org/10.1016/j.ypmed.2014.01.029
   PubMed Web of Science ®Google Scholar
• Dayer, L. E., Painter, J. T., McCain, K., King, J., Cullen, J., & Foster, H. R. (2019). A recent history of opioid use in the US: Three decades of change. Substance Use & Misuse, 54(2), 331–339. https://doi.org/10.1080/10826084.2018.1517175
   PubMed Web of Science ®Google Scholar
• Dishion, T. J., & McMahon, R. J. (1998). Parental monitoring and the prevention of child and adolescent problem behavior: A conceptual and empirical formulation. Clinical Child and Family Psychology Review, 1(1), 61–75. doi:10.1023/A:102180 0432380.
   PubMedGoogle Scholar
• Dishion, T., Forgatch, M., Chamberlain, P., & Pelham, W. E.III, (2016). The Oregon model of behavior family therapy: From intervention design to promoting large-scale system change. Behavior Therapy, 47(6), 812–837. https://doi.org/10.1016/j.beth.2016.02.002
   PubMed Web of Science ®Google Scholar
• Donaldson, C. D., Nakawaki, B., & Crano, W. D. (2015). Variations in parental monitoring and predictions of adolescent prescription opioid and stimulant misuse. Addictive Behaviors, 45, 14–21. https://doi.org/10.1016/j.addbeh.2015.01.022
   PubMed Web of Science ®Google Scholar
• Egan, K. L., Gregory, E., Osborne, V. L., & Cottler, L. B. (2019). Power of the peer and parent: Gender differences, norms, and nonmedical prescription opioid use among adolescents in south central Kentucky. Prevention Science: The Official Journal of the Society for Prevention Research, 20(5), 665–673. https://doi.org/10.1007/s11121-019-0982-1
   PubMed Web of Science ®Google Scholar
• Feingold, A. (2009). Effect sizes for growth-modeling analysis for controlled clinical trials in the same metric as for classical analysis. Psychological Methods, 14(1), 43–53. https://doi.org/10.1037/a0014699
   PubMed Web of Science ®Google Scholar
• Fink, D. S., Hu, R., Cerdà, M., Keyes, K. M., Marshall, B. D. L., Galea, S., & Martins, S. S. (2015). Patterns of major depression and nonmedical use of prescription opioids in the United States. Drug and Alcohol Dependence, 153, 258–264. https://doi.org/10.1016/
   Google Scholar
• Ford, J. A., & Rigg, K. K. (2015). Racial/ethnic differences in factors that place adolescents at risk for prescription opioid misuse. Prevention Science, 16(5), 633–641. https://doi.org/10.1007/s11121-014-0514-y
   Google Scholar
• Fosco, G. M., & Lydon‐Staley, D. M. (2020). Implications of family cohesion and conflict for adolescent mood and well‐being: Examining within‐and between‐family processes on a daily timescale. Family Process, 59(4), 1672–1689. Advance online publication. https://doi.org/10.1111/famp.12515
   PubMed Web of Science ®Google Scholar
• Furman, W., & Buhrmester, D. (2009). The Network of Relationships Inventory: Behavioral systems version. International Journal of Behavioral Development, 33(5), 470–478. https://doi.org/10.1177/0165025409342634
   PubMed Web of Science ®Google Scholar
• Gladstone, T.R.G., & Beardslee, W.R. (2009). The prevention of depression in children and adolescents: A review. The Canadian Journal of Psychiatry, 54(4), 212–221. https://doi.org/10.1177/070674370905400402j.drugalcdep.2015.05.010
   Google Scholar
• Griesler, P. C., Hu, M. C., Wall, M. M., & Kandel, D. B. (2019). Nonmedical prescription opioid use by parents and adolescents in the US. Pediatrics, 143(3), e20182354. https://doi.org/10.1542/peds.2018-2354
   PubMed Web of Science ®Google Scholar
• Hudgins, J. D., Porter, J. J., Monuteaux, M. C., & Bourgeois, F. T. (2019). Prescription opioid use and misuse among adolescents and young adults in the United States: A national survey study. PLOS Medicine, 16(11), e1002922. https://doi.org/10.1371/journal.pmed.1002922
   PubMed Web of Science ®Google Scholar
• Jones, C. M., Clayton, H. B., Deputy, N. P., Roehler, D. R., Ko, J. Y., Esser, M. B., Brookmeyer, K. A., & Hertz, M. F. (2019). Prescription opioid misuse and use of alcohol and other substances among high school students — Youth Risk Behavior Survey, United States, 2019. MMWR Supplements, 2020(Suppl-1), 6938–6946. https://doi.org/10.15585/mmwr.su6901a5
   Google Scholar
• Khubchandani, J., Brey, R., Kotecki, J., Kleinfelder, J., & Anderson, J. (2016). The psychometric properties of PHQ-4 depression and anxiety screening scale among college students. Archives of Psychiatric Nursing, 30(4), 457–462. https://doi.org/10.1016/j.apnu.2016.01.014
   PubMed Web of Science ®Google Scholar
• Kroenke, K., Spitzer, R. L., Williams, J. B., & Löwe, B. (2009). An ultra-brief screening scale for anxiety and depression: The PHQ-4. Psychosomatics, 50(6), 613–621. https://doi.org/10.1176/appi.psy.50.6.613https://doi.org/10.1016/S0033-3182(09)70864-3
   PubMed Web of Science ®Google Scholar
• Kumpfer, K. L., Alvarado, R., & Whiteside, H. O. (2003). Family-based interventions for substance use and misuse prevention. Substance Use & Misuse, 38(11–13), 1759–1787. https://doi.org/10.1081/ja-120024240
   PubMed Web of Science ®Google Scholar
• Leslie, L. K., Mehus, C. J., Hawkins, J. D., Boat, T., McCabe, M. A., Barkin, S., Perrin, E. C., Metzler, C. W., Prado, G., Tait, V. F., Brown, R., & Beardslee, W. (2016). Primary health care: Potential home for family-focused preventive interventions. American Journal of Preventive Medicine, 51(4), S106–S118. https://doi.org/10.1016/j.amepre.2016.05.014
   PubMed Web of Science ®Google Scholar
• Lipari, R. N., & Van Horn, S. L. (2017, June 29). Trends in substance use disorders among adults aged 18 or older. The CBHSQ Report. Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration.
   Google Scholar
• Lochman, J. E., & Wells, K. C. (2003). Effectiveness of the Coping Power program and of classroom intervention with aggressive children: Outcomes at a 1-year follow-up. Behavior Therapy, 34(4), 493–515. https://doi.org/10.1016/S0005-7894(03)80032-1
   Web of Science ®Google Scholar
• Mason, M., Benotsch, E. G., Way, T., Kim, H., & Snipes, D. (2014). Text messaging to increase readiness to change alcohol use in college students. The Journal of Primary Prevention, 35(1), 47–52. https://doi.org/10.1007/s10935-013-0329-9
   PubMed Web of Science ®Google Scholar
• Mason, M. J., Mennis, J., Way, T., & Campbell, L. (2015). Real-time readiness to quit and peer smoking within a text message intervention for adolescent smokers: Modeling mechanisms of change. Journal of Substance Abuse Treatment, 59, 67–73. https://.doi.org/10.1016/j.jsat.2015.07.009https://doi.org/10.1016/j.jsat.2015.07.009
   PubMed Web of Science ®Google Scholar
• Mason, M., Mennis, J., Way, T., Zaharakis, N., Campbell, L. F., Benotsch, E. G., Keyser-Marcus, L., & King, L. (2016). Text message delivered peer network counseling for adolescent smokers: A randomized controlled trial. The Journal of Primary Prevention, 37(5), 403–420. https://doi.org/10.1007/s10935-016-0439-2
   PubMed Web of Science ®Google Scholar
• Mason, M. J., Moore, M., & Brown, A. (2018a). Young adults’ perceptions of acceptability and effectiveness of a text message-delivered treatment for cannabis use disorder. Journal of Substance Abuse Treatment, 93, 15–18. https://doi.org/10.1016/j.jsat.2018.07.007
   PubMed Web of Science ®Google Scholar
• Mason, M. J., Zaharakis, N. M., Moore, M., Brown, A., Garcia, C., Seibers, A., & Stephens, C. (2018b). Who responds best to text-delivered cannabis use disorder treatment? A randomized clinical trial with young adults. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors, 32(7), 699–709. https://doi.org/10.1037/adb0000403
   PubMed Web of Science ®Google Scholar
• McCabe, S. E., Veliz, P., & Patrick, M. E. (2017). High-intensity drinking and nonmedical use of prescription drugs: Results from a national survey of 12th grade students. Drug and Alcohol Dependence, 178, 372–379. https://doi.org/10.1016/j.drugalcdep.2017.05.038
   Google Scholar
• McCabe, S. E., Veliz, P. T., Boyd, C. J., Schepis, T. S., McCabe, V. V., & Schulenberg, J. E. (2019). A prospective study of nonmedical use of prescription opioids during adolescence and subsequent substance use disorder symptoms in early midlife. Drug and Alcohol Dependence, 194, 377–385. https://doi.org/10.1016/j.drugalcdep.2018.10.027
   PubMed Web of Science ®Google Scholar
• Miech, R., Johnston, L., O’Malley, P. M., Keyes, K. M., & Heard, K. (2015). Prescription opioids in adolescence and future opioid use. Pediatrics, 136(5), e1169–e1177. https://doi.org/10.1542/peds.2015-1364
   Google Scholar
• Miller, W. R., & Rollnick, S. (2013). Motivational interviewing: Helping people change (3rd ed.). Guilford Press.
   Google Scholar
• Miller-Day, M., & Kam, J. (2010). More than just openness: Developing and validating a measure of targeted parent-child communication about alcohol . Health Communication, 25(4), 293–302. https://doi.org/10.1080/10410231003698952
   PubMed Web of Science ®Google Scholar
• Monitoring the Future. (2019, December). Monitoring the Future 2019 survey results: Overall findings. National Institute on Drug Abuse. https://www.drugabuse.gov/related-topics/trends-statistics/infographics/monitoring-future-2019-survey-results-overall-findings.
   Google Scholar
• Monnat, S. M., & Rigg, K. K. (2016). Examining rural/urban differences in prescription opioid misuse among U.S. adolescents. Journal of Rural Health, 32(2), 204–218. https://doi.org/10.1111/jrh.12141
   Google Scholar
• National Academies of Sciences, Engineering, and Medicine. (2016). Systems practices for the care of socially at-risk populations. The National Academies Press. https://doi.org/10.17226/21914
   Google Scholar
• Nicholson, J., Dawson-Edwards, C., Higgins, G. E., & Walton, I. N. (2016). The nonmedical use of pain relievers among African-Americans: A test of primary socialization theory. Journal of Substance Use, 21(6), 636–639. https://doi.org/10.3109/14659891.2015.1122101
   Google Scholar
• Osborne, V., Striley, C. W., Nixon, S. J., Winterstein, A. G., & Cottler, L. B. (2020). Sex differences in peer and parental risk factors for non-medical use of prescription opioids in youth. The American Journal of Drug and Alcohol Abuse, 46(2), 203–215. https://doi.org/10.1080/00952990.2019.1671436
   PubMed Web of Science ®Google Scholar
• Papini, D. R., & Roggman, L. A. (1992). Adolescent perceived attachment to parents in relation to competence, depression, and anxiety: A longitudinal study. The Journal of Early Adolescence, 12(4), 420–440. https://doi.org/10.1177/0272431692012004005
   Google Scholar
• Patterson, G. R., Chamberlain, P., & Reid, J. B. (1982). A comparative evaluation of a parent-training program. Behavior Therapy, 13(5), 638–650. https://doi.org/10.1016/S0005-7894(82)80021-X
   Web of Science ®Google Scholar
• Precision OralScan - 10 Panel Saliva (THC/COC/AMP/OPI/mAMP/PCP/BAR/BZO/OXY/BUP) Retrieved December 25, 2020, from https://www.americanscreeningcorp.com
   Google Scholar
• Reynolds, C. R., & Kamphaus, R. W. (2004). BASC-2: Behavior assessment system for children. American Guidance Service.
   Google Scholar
• Rueter, M. A., Scaramella, L., Wallace, L. E., & Conger, R. D. (1999). First onset of depressive or anxiety disorders predicted by the longitudinal course of internalizing symptoms and parent-adolescent disagreements. Archives of General Psychiatry, 56(8), 726–732. https://doi.org/10.1001/archpsyc.56.8.726
   PubMed Web of Science ®Google Scholar
• Sheeber, L., Hops, H., & Davis, B. (2001). Family processes in adolescent depression. Clinical Child and Family Psychology Review, 4(1), 19–35. https://doi.org/10.1023/A:1009524626436
   PubMed Web of Science ®Google Scholar
• Spencer, C. M., Topham, G. L., & King, E. L. (2020). Do online parenting programs create change?: A meta-analysis. Journal of Family Psychology: JFP: Journal of the Division of Family Psychology of the American Psychological Association (Division 43), 34(3), 364–374. https://doi.org/10.1037/fam0000605
   PubMed Web of Science ®Google Scholar
• Stattin, H., & Kerr, M. (2000). Parental monitoring: A reinterpretation. Child Development, 71(4), 1072–1085. https://doi.org/10.1111/1467-8624.00210
   PubMed Web of Science ®Google Scholar
• U.S. Department of Health and Human Services. (2019, May 13). Opioids and adolescents. https://www.hhs.gov/ash/oah/adolescent-development/substance-use/drugs/opioids/index.html
   Google Scholar
• Van Ryzin, M. J., Roseth, C. J., Fosco, G. M., Lee, Y. K., & Chen, I. C. (2016). A component-centered meta-analysis of family-based prevention programs for adolescent substance use. Clinical Psychology Review, 45, 72–80. https://doi.org/10.1016/j.cpr.2016.03.007
   PubMed Web of Science ®Google Scholar
• Vaughn, M. G., Fu, Q., Perron, B. E., & Wu, L. T. (2012). Risk profiles among adolescent nonmedical opioid users in the United States. Addictive Behaviors, 37(8), 974–977. https://doi.org/10.1016/j.addbeh.2012.03.015
   PubMed Web of Science ®Google Scholar
• Vaugh, M. G., Nelson, E. J., Salas-Wright, C. P., Qian, Z., & Schootman, M. (2016). Racial and ethnic trends and correlates of non-medical use of prescription opioids among adolescents in the United States 2004–2013. Journal of Psychiatric Research, 73, 17–24. https://doi.org/10.1016/j.jpsychires.2015.11.003
   Google Scholar
• Welsh, J. W., Knight, J. R., Hou, S. S. Y., Malowney, M., Schram, P., Sherritt, L., & Boyd, J. W. (2017). Association between substance use diagnoses and psychiatric disorders in an adolescent and young adult clinic-based population. Journal of Adolescent Health, 60(6), 648–652. https://doi.org/10.1016/j.jadohealth.2016.12.018
   PubMed Web of Science ®Google Scholar