Adolescent cannabis use, change in neurocognitive function, and high-school graduation: A longitudinal study from early adolescence to young adulthood

Development and Psychopathology

Volumn 29, Issue 4, 2017, Pages 1253-1266

  Castellanos Ryan, Natalie ^a,b   Pingault, Jean Baptiste ^c,d   Parent, Sophie ^a   Vitaro, Frank ^a,b   Tremblay, Richard E ^b,e   Séguin, Jean R ^a,b  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

^b UNIVERSITY OF MONTREAL   (Canada)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d KING'S COLLEGE LONDON   (United Kingdom)

^e TOMSK STATE UNIVERSITY   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADOLESCENT BEHAVIOR; CANNABIS SMOKING; COGNITION; EXECUTIVE FUNCTION; HUMAN; LEARNING; LONGITUDINAL STUDY; MALE; NEUROPSYCHOLOGICAL TEST; PHYSIOLOGY; PROSPECTIVE STUDY; PSYCHOLOGY; SHORT TERM MEMORY; YOUNG ADULT;

ADOLESCENT; ADOLESCENT BEHAVIOR; COGNITION; EXECUTIVE FUNCTION; HUMANS; LEARNING; LONGITUDINAL STUDIES; MALE; MARIJUANA SMOKING; MEMORY, SHORT-TERM; NEUROPSYCHOLOGICAL TESTS; PROSPECTIVE STUDIES; YOUNG ADULT;

EID: 85007417786     PISSN: 09545794     EISSN: 14692198     Source Type: Journal    
DOI: 10.1017/S0954579416001280     Document Type: Article

References (99)

1. Barker, E. D., Tremblay, R. E., van Lier, P. A., Vitaro, F., Nagin, D. S., Assaad, J. M., & Séguin, J. R. (2011). The neurocognition of conduct disorder behaviors: Specificity to physical aggression and theft after controlling for ADHD symptoms. Aggressive Behavior, 37, 63-72.
2. Becker, B., Wagner, D., Gouzoulis-Mayfrank, E., Spuentrup, E., & Daumann, J. (2010a). Altered parahippocampal functioning in cannabis users is related to the frequency of use. Psychopharmacology (Berlin), 209, 361-374.
3. Becker, B., Wagner, D., Gouzoulis-Mayfrank, E., Spuentrup, E., & Daumann, J. (2010b). The impact of early-onset cannabis use on functional brain correlates of working memory. Progress in Neuropsychopharmacology and Biological Psychiatry, 34, 837-845.
4. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246.
5. Boisjoli, R., Vitaro, F., Lacourse, A., Barker, E. D., & Tremblay, R. E. (2007). Impact and clinical significance of a preventive intervention for disruptive boys: 15-year follow-up. British Journal of Psychiatry, 191, 415-419.
6. Bolla, K. I., Brown, K., Eldreth, D., Tate, K., &Cadet, J. L. (2002). Dose-related neurocognitive effects of marijuana use. Neurology, 59, 1337-1343.
7. Breslau, J., Michael, L., Nancy, S. B., & Kessler, R. C. (2008). Mental disorders and subsequent educational attainment in a US national sample. Journal of Psychiatric Research, 42, 708-716.
8. Brinch, C. N., & Galloway, T. A. (2012). Schooling in adolescence raises IQ scores. Proceedings of the National Academy of Sciences, 109, 425-430.
9. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation modeling (pp. 136-162). Thousand Oaks, CA: Sage.
10. Broyd, S. J., van Hell, H. H., Beale, C., Yucel, M., & Solowij, N. (2016). Acute and chronic effects of cannabinoids on human cognition-A systematic review. Biological Psychiatry, 79, 557-567.
11. Burns, H. D., Van Laere, K., Sanabria-Bohorquez, S., Hamill, T. G., Bormans, G., Eng, W. S.,. Hargreaves, R. J. (2007). [18F]MK-9470, a positron emission tomography (PET) tracer for in vivo human PET brain imaging of the cannabinoid-1 receptor. Proceedings of the National Academy of Sciences, 104, 9800-9805.
12. Carlson, S. M., Zelazo, P. D., & Faja, S. (2013). Executive function. In P. D. Zelazo (Ed.), The Oxford handbook of developmental psychology: Vol. 1. Body and mind (pp. 706-743). New York: Oxford University Press.
13. Castellanos-Ryan, N., Séguin, J. R., Vitaro, F., Parent, S., & Tremblay, R. E. (2013). A multimodal intervention for disruptive kindergarten children reduces substance-use across adolescence: A randomized control trial. British Journal of Psychiatry, 203, 188-195.
14. Cheng, H., Skosnik, P. D., Pruce, B. J., Brumbaugh, M. S., Vollmer, J. M., Fridberg, D. J.,. Newman, S. D. (2014). Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users-A multi-voxel pattern analysis. Journal of Psychopharmacology, 28, 1030-1040.
15. Chevrier, J. M. (1989). é preuve Individuelle d'Habileté Mentale [Individual tasks of mental ability]. Montreál: Institut de Recherches Psychologiques.
16. Churchwell, J. C., Lopez-Larson, M., & Yurgelun-Todd, D. A. (2010). Altered frontal cortical volume and decision making in adolescent cannabis users. Frontiers in Psychology, 1, 225.
17. Clark, D. B., &Winters, K. C. (2002). Measuring risks and outcomes in substance use disorders prevention research. Journal of Consulting and Clinical Psychology, 70, 1207-1223.
18. Colom, R., Karama, S., Jung, R. E., & Haier, R. J. (2010). Human intelligence and brain networks. Dialogues in Clinical Neuroscience, 12, 489-501.
19. Conrod, P. J., Castellanos-Ryan, N., & Strang, J. (2010). Brief, personalitytargeted coping skills interventions and survival as a non-drug user over a 2-year period during adolescence. Archives of General Psychiatry, 67, 85-93.
20. Cousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2014). Effect of baseline cannabis use and working-memory network function on changes in cannabis use in heavy cannabis users: A prospective fMRI study. Human Brain Mapping, 35, 2470-2482.
21. Crean, R. D., Crane, N. A., &Mason, B. J. (2011). An evidence-based review of acute and long-term effects of cannabis use on executive cognitive functions. Journal of Addiction Medicine, 5, 1-8.
22. Degenhardt, L., & Hall, W. (2012). Extent of illicit drug use and dependence, and their contribution to the global burden of disease Lancet, 379, 55-70.
23. Degenhardt, L., Stockings, E., Patton, G., Hall, W. D., & Lynskey, M. (2016). The increasing global health priority of substance use in young people. Lancet Psychiatry, 3, 251-264.
24. ElSohly, M. A., Mehmedic, Z., Foster, S., Gon, C., Chandra, S., & Church, J. C. (2016). Changes in cannabis potency over the last 2 decades (1995-2014): Analysis of current data in the United States. Biological Psychiatry, 79, 613-619.
25. Fergusson, D. M., Boden, J. M., & Horwood, L. J. (2015). Psychosocial sequelae of cannabis use and implications for policy: Findings from the Christchurch Health and Development Study. Social Psychiatry and Psychiatric Epidemiology, 50, 1317-1326.
26. Fergusson, D. M., Horwood, L. J., & Beautrais, A. L. (2003). Cannabis and educational achievement. Addiction, 98, 1681-1692.
27. Filbey, F. M., Asian, S., Calhoun, V. D., Spence, J. S., Damaraju, E., Caprihan, A., & Segall, J. (2014). Long-term effects of marijuana use on the brain. Proceedings of the National Academy of Sciences, 111, 16913-16918.
28. Flory, K., Lynam, D., Milich, R., Leukefeld, C., & Clayton, R. (2004). Early adolescent through young adult alcohol and marijuana use trajectories: Early predictors, young adult outcomes, and predictive utility. Development and Psychopathology, 16, 193-213.
29. Fridberg, D. J., Queller, S., Ahn, W. Y., Kim, W., Bishara, A. J., Busemeyer, J. R.,. Stout, J. C. (2010). Cognitive mechanisms underlying risky decision-making in chronic cannabis users. Journal of Mathematical Psychology, 54, 28-38.
30. Fridberg, D. J., Skosnik, P. D., Hetrick, W. P., & O'Donnell, B. F. (2013). Neural correlates of performance monitoring in chronic cannabis users and cannabis-naive controls. Journal of Psychopharmacology, 27, 515-525.
31. Fried, P. A., Watkinson, B., & Gray, R. (2005). Neurocognitive consequences of marihuana-A comparison with pre-drug performance. Neurotoxicology and Teratology, 27, 231-239.
32. Fuhrmann, D., Knoll, L. J., & Blakemore, S. J. (2015). Adolescence as a sensitive period of brain development. Trends in Cognitive Science, 19, 558-566.
33. Grant, J. E., Chamberlain, S. R., Schreiber, L., & Odlaug, B. L. (2012). Neuropsychological deficits associated with cannabis use in young adults. Drug and Alcohol Dependence, 121, 159-162.
34. Gruber, S. A., Dahlgren, M. K., Sagar, K. A., Gonenc, A., & Lukas, S. E. (2014). Worth the wait: Effects of age of onset of marijuana use on white matter and impulsivity. Psychopharmacology, 231, 1455-1465.
35. Gruber, S. A., Sagar, K. A., Dahlgren, M. K., Racine, M., & Lukas, S. E. (2012). Age of onset of marijuana use and executive function. Psychology of Addictive Behaviors, 26, 496-506.
36. Hall, W. D., & Degenhardt, L. (2009). Adverse health effects of non-medical cannabis use. Lancet, 374, 1383-1391.
37. Hall, W. D., Patton, G., Stockings, E., Weier, M., Lynskey, M., Morley, K. I., & Degenhardt, L. (2016). Why young people's substance use matters for global health. Lancet Psychiatry, 3, 265-279.
38. Hanson, K. L., Winward, J. L., Schweinsburg, A. D., Medina, K. L., Brown, S. A., &Tapert, S. F. (2010). Longitudinal study of cognition among adolescent marijuana users over three weeks of abstinence. Addictive Behaviors, 35, 970-976.
39. Harvey, M. A., Sellman, J. D., Porter, R. J., & Frampton, C. M. (2007). The relationship between non-acute adolescent cannabis use and cognition. Drug and Alcohol Review, 26, 309-319.
40. Hawkins, J. D., Graham, J. W., Maguin, E., Abbott, R., Hill, K. G., & Catalano, R. F. (1997). Exploring the effects of age of alcohol use initiation and psychosocial risk factors on subsequent alcohol misuse. Journal of Studies on Alcohol and Drugs, 58, 280-290.
41. Hayatbakhsh, M. R., Najman, J. M., Jamrozik, K., Mamun, A. A., &Alati, R. (2006). Do parents' marital circumstances predict young adults' DSM-IV cannabis use disorders? A prospective study. Addiction, 101, 1778-1786.
42. Heron, J., Barker, E. D., Joinson, C., Lewis, G., Hickman, M., Munafo, M., & Macleod, J. (2013). Childhood conduct disorder trajectories, prior risk factors and cannabis use at age 16: Birth cohort study. Addiction, 108, 2129-2138.
43. Hibell, B., Guttormsson, U., Ahlström, S., Balakireva, O., Bjarnason, T., Kokkevi, A., & Kraus, L. (2012). The 2011 ESPAD Report: Substance use among students in 36 European countries. Stockholm: Swedish Council for Information on Alcohol and Other Drugs.
44. Hyman, S. E., Malenka, R. C., & Nestler, E. J. (2006). Neural mechanisms of addiction: The role of reward-related learning and memory. Annual Review of Neuroscience, 29, 565-598.
45. Jager, G., Block, R. I., Luijten, M., & Ramsey, N. F. (2010). Cannabis use and memory brain function in adolescent boys: A cross-sectional multicenter functional magnetic resonance imaging study. Journal of the American Academy of Child & Adolescent Psychiatry, 49, 561-572.
46. Johnson, W., Hicks, B. M., McGue, M., & Iacono, W. G. (2009). How intelligence and education contribute to substance use: Hints from the Minnesota Twin Family Study. Intelligence, 37, 613-624.
47. Johnston, L. D., O'Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2013). Monitoring the future: National survey results on drug use 1975-2012: Vol. 1. Secondary school students. Ann Arbor, MI: University of Michigan, Institute for Social Research.
48. Lee, S., Tsang, A., Breslau, J., Aguilar-Gaxiola, S., Angermeyer, M., Borges, G.,. Kessler, R. C. (2009). Mental disorders and termination of education in high-income and low-and middle-income countries: Epidemiological study. British Journal of Psychiatry, 194, 411-417.
49. Lisdahl, K. M., & Price, J. S. (2012). Increased marijuana use and gender predict poorer cognitive functioning in adolescents and emerging adults. Journal of the International Neuropsychological Society, 18, 678-688.
50. Lopez-Larson, M. P., Bogorodzki, P., Rogowska, J., McGlade, E., King, J. B., Terry, J., & Yurgelun-Todd, D. (2011). Altered prefrontal and insular cortical thickness in adolescent marijuana users. Behavioural Brain Research, 220, 164-172.
51. Lovallo, W. R., Farag, N. H., Sorocco, K. H., Acheson, A., Cohoon, A. J., & Vincent, A. S. (2013). Early life adversity contributes to impaired cognition and impulsive behavior: Studies from the Oklahoma Family Health Patterns Project. Alcoholism: Clinical and Experimental Research, 37, 616-623.
52. Lubman, D. I., Cheetham, A., & Yucel, M. (2015). Cannabis and adolescent brain development. Pharmacology and Therapeutics, 148, 1-16.
53. 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.
54. Lynskey, M. T., & Hall, W. (2000). The effects of adolescent cannabis use on educational attainment: A review. Addiction, 95, 1621-1630.
55. Lyons, M. J., Bar, J. L., Panizzon, M. S., Toomey, R., Eisen, S., Xian, H., & Tsuang, M. T. (2004). Neuropsychological consequences of regular marijuana use: A twin study. Psychological Medicine, 34, 1239-1250.
56. Mathias, C. W., Blumenthal, T. D., Dawes, M. A., Liguori, A., Richard, D. M., Bray, B.,. Dougherty, D. M. (2011). Failure to sustain prepulse inhibition in adolescent marijuana users. Drug and Alcohol Dependence, 116, 110-116.
57. McCaffrey, D. F., Pacula, R. L., Han, B., & Ellickson, P. (2010). Marijuana use and high school dropout: The influence of unobservables. Health Economics, 19, 1281-1299.
58. Medina, K. L., Hanson, K. L., Schweinsburg, A. D., Cohen-Zion, M., Nagel, B. J., & Tapert, S. F. (2007). Neuropsychological functioning in adolescent marijuana users: Subtle deficits detectable after a month of abstinence. Journal of the International Neuropsychological Society, 13, 807-820.
59. Meier, M. H., Caspi, A., Ambler, A., Harrington, H., Houts, R., Keefe, R. S. E.,. Moffitt, T. E. (2012). Persistent cannabis users show neuropsychological decline from childhood to midlife. Proceedings of the National Academy of Sciences, 109, E2657-E2664.
60. Moffitt, T. E., Meier, M. H., Caspi, A., & Poulton, R. (2013). Reply to Rogeberg and Daly: No evidence that socioeconomic status or personality differences confound the association between cannabis use and IQ decline. Proceedings of the National Academy of Sciences, 110, E983.
61. Mokrysz, C., Landy, R., Gage, S. H., Munafo, M. R., Roiser, J. P., & Curran, H. V. (2016). Are IQ and educational outcomes in teenagers related to their cannabis use? A prospective cohort study. Journal of Psychopharmacology, 30, 159-168.
62. Muthén, L. K., & Muthén, B. O. (1998-2009). Mplus user's guide. Los Angeles: Author.
63. Newman, J. P., Patterson, C. M., & Kosson, D. S. (1987). Response perseveration in psychopaths. Journal of Abnormal Psychology, 96, 145-148.
64. Paus, T. (2005). Mapping brain maturation and cognitive development during adolescence. Trends in Cognitive Sciences, 9, 60-68.
65. Paus, T. (2007). Maturation of structural and functional connectivity in the human brain. In V. K. Jirsa & A. R. McIntosh (Eds.), Understanding complex systems (Vol. 2007, pp. 463-475).
66. Petrides, M. (1990). Nonspatial conditional learning impaired in patients with unilateral frontal but not unilateral temporal lobe excisions. Neuropsychologia, 28, 137-149.
67. Petrides, M., Alivisatos, B., Evans, A. C., & Meyer, E. (1993). Dissociation of human mid-dorsolateral from posterior dorsolateral frontal cortex in memory processing. Proceedings of the National Academy of Sciences, 90, 873-877.
68. Realini, N., Rubino, T., & Parolaro, D. (2009). Neurobiological alterations at adult age triggered by adolescent exposure to cannabinoids. Pharmacological Research, 60, 132-138.
69. Rhemtulla, M., Brosseau-Liard, P. E., & Savalei, V. (2012). When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychological Methods, 17, 354-373.
70. Rubino, T., & Parolaro, D. (2016). The impact of exposure to cannabinoids in adolescence: Insights from animal models. Biological Psychiatry, 79, 578-585.
71. Rubino, T., Prini, P., Piscitelli, F., Zamberletti, E., Trusel, M., Melis, M.,. Parolaro, D. (2015). Adolescent exposure to THC in female rats disrupts developmental changes in the prefrontal cortex. Neurobiology of Diseases, 73, 60-69.
72. Rubino, T., Realini, N., Braida, D., Guidi, S., Capurro, V., Viganò, D.,. Parolaro, D. (2009). Changes in hippocampal morphology and neuroplasticity induced by adolescent THC treatment are associated with cognitive impairment in adulthood. Hippocampus, 19, 763-772.
73. Schreiner, A. M., & Dunn, M. E. (2012). Residual effects of cannabis use on neurocognitive performance after prolonged abstinence:A meta-analysis. Experimental and Clinical Psychopharmacology, 20, 420-429.
74. Schulte, M. H., Cousijn, J., den Uyl, T. E., Goudriaan, A. E., van den Brink, W., Veltman, D. J.,. Wiers, R. W. (2014). Recovery of neurocognitive functions following sustained abstinence after substance dependence and implications for treatment. Clinical Psychology Review, 34, 531-550.
75. Schweinsburg, A. D., Brown, S. A., & Tapert, S. F. (2008). The influence of marijuana use on neurocognitive functioning in adolescents. Current Drug Abuse Review, 1, 99-111.
76. Séguin, J. R., Arseneault, L., Boulerice, B., Harden, P. W., & Tremblay, R. E. (2002). Response perseveration in adolescent boys with stable and unstable histories of physical aggression: The role of underlying processes. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 43, 481-494.
77. Séguin, J. R., Arseneault, L., & Tremblay, R. E. (2007). The contribution of "cool" and "hot" components of decision-making in adolescence: Implications for developmental psychopathology. Cognitive Development, 22, 530-543.
78. Séguin, J. R., Boulerice, B., Harden, P. W., Tremblay, R. E., & Pihl, R. O. (1999). Executive functions and physical aggression after controlling for attention deficit hyperactivity disorder, general memory, and IQ. Journal of Child Psychology and Psychiatry, 40, 1197-1208.
79. Séguin, J. R., Nagin, D., Assaad, J. M., & Tremblay, R. E. (2004). Cognitiveneuropsychological function in chronic physical aggression and hyperactivity. Journal of Abnormal Psychology, 113, 603-613.
80. Séguin, J. R., Pihl, R. O., Harden, P. W., Tremblay, R. E., & Boulerice, B. (1995). Cognitive and neuropsychological characteristics of physically aggressive boys. Journal of Abnormal Psychology, 104, 614-624.
81. Silins, E., Horwood, L. J., Patton, G. C., Fergusson, D. M., Olsson, C. A., Hutchinson, D. M.,. Cannabis Cohorts Research Committee. (2014). Young adult sequelae of adolescent cannabis use: An integrative analysis. Lancet Psychiatry, 1, 286-293.
82. Squeglia, L. M., Jacobus, J., Nguyen-Louie, T. T., & Tapert, S. F. (2014). Inhibition during early adolescence predicts alcohol and marijuana use by late adolescence. Neuropsychology, 28, 782-790.
83. Stiby, A. I., Hickman, M., Munafo, M. R., Heron, J., Yip, V. L., & Macleod, J. (2015). Adolescent cannabis and tobacco use and educational outcomes at age 16: Birth cohort study. Addiction, 110, 658-668.
84. Tamm, L., Epstein, J. N., Lisdahl, K. M., Molina, B., Tapert, S., Hinshaw, S. P.,. MTANeuroimaging Group. (2014). Impact of ADHD and cannabis use on executive functioning in young adults. Drug and Alcohol Dependence, 133, 607-614.
85. Tapert, S. F., Granholm, E., Leedy, N. G., & Brown, S. A. (2002). Substance use and withdrawal: Neuropsychological functioning over 8 years in youth. Journal of the International Neuropsychological Society, 8, 873-883.
86. Thissen, D., Steinberg, L., & Kuang, D. (2002). Quick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple comparisons. Journal of Educational and Behavioral Statistics, 27, 77-83.
87. Tofighi, D., & MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692-700.
88. Tremblay, R. E., Loeber, R., Gagnon, C., Charlebois, P., Larivee, S., & Le-Blanc, M. (1991). Disruptive boys with stable and unstable high fighting behavior patterns during junior elementary school. Journal of Abnormal Child Psychology, 19, 285-300.
89. Tremblay, R. E., Pihl, R. O., Vitaro, F., & Dobkin, P. L. (1994). Predicting early onset of male antisocial behavior from preschool behavior. Archives of General Psychiatry, 51, 732-739.
90. Veroff, J., McClelland, L., & Marquis, K. (1971). Measuring intelligence and achievement motivation in surveys: Final report to the U. S. Department of Health, Education, and Welfare. New York: Office of Economic Opportunity.
91. Verrico, C. D., Gu, H., Peterson, M. L., Sampson, A. R., & Lewis, D. A. (2014). Repeated D9-tetrahydrocannabinol exposure in adolescent monkeys: Persistent effects selective for spatial working memory. American Journal of Psychiatry, 171, 416-425.
92. Vitaro, F., Brendgen, M., Pagani, L., Tremblay, R. E., & McDuff, P. (1999). Disruptive behavior, peer association, and conduct disorder: Testing the developmental links through early intervention. Development and Psychopathology, 11, 287-304.
93. Volkow, N. D., Swanson, J. M., Evins, A. E., DeLisi, L. E., Meier, M. H., Gonzalez, R.,. Baler, R. (2016). Effects of cannabis use on human behavior, including cognition, motivation, and psychosis: A review. JAMA Psychiatry, 73, 292-297.
94. von Sydow, K., Lieb, R., Pfister, H., Hofler, M., & Wittchen, H. U. (2002). What predicts incident use of cannabis and progression to abuse and dependence? A 4-year prospective examination of risk factors in a community sample of adolescents and young adults. Drug and Alcohol Dependence, 68, 49-64.
95. Wechsler, D. (1987). Wechsler Memory Scale-Revised. New York: Psychological Corporation.
96. White, J., & Batty, G. D. (2012). Intelligence across childhood in relation to illegal drug use in adulthood: 1970 British Cohort Study. Journal of Epidemiology and Community Health, 66, 767-774.
97. Windle, M., & Wiesner, M. (2004). Trajectories of marijuana use from adolescence to young adulthood: Predictors and outcomes. Development and Psychopathology, 16, 1007-1027.
98. Winters, K. C. (1992). Development of an adolescent alcohol and other drug abuse screening scale: Personal Experience Screening Questionnaire. Addictive Behaviors, 17, 479-490.
99. Winters, K. C. (2003). Assessment of alcohol and other drug use behaviors among adolescents. In J. P. Allen & V. B. Wilson (Eds.), Assessing alcohol problems: A guide for clinicians and researchers (2nd ed.). Bethesda, MD: National Institute on Alcohol Abuse and Alcoholism.