Abstract
Background
Simultaneous alcohol and marijuana (SAM) use poses threats to health, particularly among adolescents. These risks would be exacerbated to the extent that high-intensity drinking (e.g., 10+ drinks in a row) and marijuana use (e.g., 1+ joints per day) are associated with a higher likelihood of SAM use. The current study examines the extent to which the intensity of alcohol use and of marijuana use are associated with adolescent SAM use prevalence, and whether associations remain after controlling for key covariates known to associate with both alcohol and marijuana use; it identifies alcohol and marijuana use intensity levels associated with the highest risk of adolescent SAM use.
Methods
Data come from nationally representative samples of U.S. 12th graders who participated in the Monitoring the Future study from 2005 to 2014 (N=24,203 respondents; 48.4% boys, 51.6% girls).
Results
SAM use during the past year was reported by 20% of 12th graders overall. SAM use prevalence was strongly and positively associated with alcohol and marijuana use intensity even after controlling for covariates. High school seniors at highest risk for engaging in SAM use were those who reported 10+ drinks and those smoking at least 1 joint/day. Approximately 60% of those who had 10-14 or 15+ drinks in a row during the past two weeks and 76-80% of those who had 1 or 2+ joints per day on average during the past 30 days reported SAM use.
Conclusions
Results suggest that high school seniors who consume high quantities of alcohol and marijuana are very likely to consume these substances so that their effects overlap.
INTRODUCTION
Simultaneous alcohol and marijuana (SAM) use involves use of both substances at the same time, resulting in overlapping effects. SAM use is associated with serious public health problems including unsafe driving,1,2 depression,3 and substance dependence.3-5 Adolescent SAM use has been widely documented in North America2,6-8 and Europe,9 and is especially concerning due to deleterious effects of combined alcohol and marijuana use on adolescent neuropsychological development and cognitive functioning.10-12 The National Center on Addiction and Substance Abuse calls adolescent substance use one of the country’s largest preventable and costly health problems, and recommends proactively seeking out opportunities to intervene.13 However, knowledge about which adolescents are most likely to engage in SAM use is limited.
SAM use among adults is independently associated with both alcohol use frequency (frequency measured at 5+ drinks per day) and intensity (average daily number of drinks).1 Adolescent SAM use is positively associated with alcohol use frequency.8 For example, adolescents who reported using alcohol on only 1-2 occasions in the past year had lower probabilities of SAM use than did those who used on 40 or more occasions.8 While such frequency-related findings are important, they do not address associations between adolescent alcohol and marijuana use intensity (i.e., quantity) and SAM use. High-intensity drinking (10+ to 15+ drinks/occasion) is a problematic behavior among adolescents,14-16 posing risks to adolescent drinkers and the public.17-21 If SAM use is concentrated among adolescents who engage in high-intensity drinking (i.e., 10+ or 15+ drinks in a row), this knowledge can help direct prevention and intervention efforts to the primary group at risk for SAM-related harms. Similarly, increasing marijuana use intensity (number of joints) is strongly associated with increased dependence among adolescents.22 These risks would be exacerbated to the extent that high-intensity alcohol and/or marijuana use is associated with a higher likelihood of SAM use.
The current study used four research questions (RQs) to examine associations between adolescent alcohol and marijuana use intensity and SAM use: (1) How does the prevalence of adolescent SAM use vary across intensity levels of both alcohol use and marijuana use? (2) Do associations between alcohol and marijuana use intensity and SAM use remain significant after controlling for covariates known to be associated independently with the likelihood of high-intensity alcohol use and SAM use among adolescents?8,15,23,24 (3) Is there evidence that adolescent SAM use is associated primarily with high-intensity drinking versus high-intensity marijuana use? (4) Does adolescent SAM use appear to be associated with specific use intensity thresholds (i.e., 10-14 vs. 15+ drinks, or 1 vs. 2+ joints per day)?
METHODS
The present study uses ten years of cross-sectional data from the Monitoring the Future (MTF) study.25 Based on a three-stage sampling procedure, MTF surveys nationally representative samples of approximately 15,000 U.S. high school seniors annually (response rates ranging from 77% to 86%). Project design and sampling methods, including informed consent procedures, are described in detail elsewhere.25 Measures for the current analysis were available on one of the six randomly distributed questionnaire forms for separate yearly 12th-grade samples from 2005 to 2014. The analytic sample included 24,203 respondents (48.4% boys; racial/ethnic distribution was 10.7% Black, 13.4% Hispanic, 56.4% White, and 19.6% other races). Approval for this study was obtained from the institutional review board.
Measures
Intensity of drinking
Intensity of drinking was based on three questions asking respondents to report the number of occasions during the last two weeks when they had (a) 5 or more, (b) 10 or more, and (c) 15 or more drinks in a row. Responses were combined to make a mutually exclusive 4-category variable reflecting a maximum number of drinks consumed in a row in the past two weeks: (1) 0 to 4 drinks, (2) 5 to 9 drinks, (3) 10 to 14 drinks, and (4) 15 or more drinks in a row. High-intensity drinking was operationalized as the intensity levels reported by the top ~10% of 12th-grade alcohol users, which has been shown to be 10+ drinks in a row in the past two weeks.15
Intensity of marijuana use
Intensity of marijuana use was based on one question about the number of “marijuana cigarettes (joints, reefers), or the equivalent” smoked per day, on average. A mutually exclusive 4-category variable was coded reflecting average per day use: (1) no use, (2) <1 joint/day, (3) 1 joint/day, and (4) 2+ joints/day. High-intensity marijuana use was operationalized as the intensity levels reported by the top ~10% of 12th-grade marijuana users in the current study, which is 1 or more joints per day in the past 30 days.
Simultaneous alcohol and marijuana (SAM) use
Simultaneous alcohol and marijuana (SAM) use was based on one question: “How many of the times when you used marijuana or hashish during the last year did you use it along with alcohol—that is, so that their effects overlapped?” Responses were coded into a binary measure indicating any SAM use in the past year versus no SAM use [no use included both (a) no marijuana use and/or no alcohol use in the past 12 months, and (b) marijuana use and alcohol use but no SAM use in the past 12 months].
Control variables
Control variables included in multivariable models were sex, race/ethnicity, truancy, average academic grades, parental education, and peer substance use.
Analysis
Stata 14.026 was used for analysis. All analyses used sampling weights to account for unequal sample selection probability and multiple imputation to account for missingness.27 In particular, sequential regression imputation was used to impute missing values on all the variables in the current analysis (see Table 1 for a complete list); ten imputations with the full MTF sample used chained multinomial, logistic, and ordered logit models in STATA’s “mi impute chained“ procedure (i.e., 10 imputations, 5 burn-in iterations each; the “augment“ option was used in the presence of perfect prediction). Results from additional models (not shown) indicated findings were substantively unchanged when using either listwise deletion or imputing missing data on covariates but not on the dependent variable (i.e., SAM).
Table 1.
Missing | Multiple Imputation | Full Sample | |||
---|---|---|---|---|---|
(10 imputations) | |||||
Dependent Variable | % | % | SE | % | SE |
Simultaneous alcohol and marijuana (SAM) use (past 12 months) | 2.80 | ||||
No SAM use | 79.6 | 0.003 | 79.7 | 0.003 | |
Any SAM use | 20.4 | 0.003 | 20.3 | 0.003 | |
Independent Variables | |||||
Intensity of alcohol use (past 2 weeks) | 6.18 | ||||
No binge drinking (i.e., 0 to 4 drinks in a row) | 80.4 | 0.003 | 80.5 | 0.003 | |
5 to 9 drinks in a row | 9.5 | 0.002 | 9.5 | 0.002 | |
10 to 14 drinks in a row | 4.8 | 0.002 | 4.8 | 0.002 | |
15 or more drinks in a row | 5.3 | 0.002 | 5.3 | 0.002 | |
Intensity of marijuana use (past 30 days) | 5.40 | ||||
No marijuana use | 82.1 | 0.003 | 82.2 | 0.003 | |
Less than 1 joint a day | 8.7 | 0.002 | 8.7 | 0.002 | |
1 joint a day | 2.5 | 0.001 | 2.5 | 0.001 | |
2 or more joints a day | 6.7 | 0.002 | 6.6 | 0.002 | |
Control Variables | |||||
Sex | 8.90 | ||||
Male | 48.4 | 0.004 | 48.1 | 0.004 | |
Female | 51.6 | 0.004 | 51.9 | 0.004 | |
Race/ethnicity | 0.00 | ||||
White | 56.4 | 0.004 | 56.4 | 0.004 | |
Black | 10.7 | 0.002 | 10.7 | 0.002 | |
Hispanic | 13.4 | 0.003 | 13.4 | 0.003 | |
Other race | 19.6 | 0.003 | 19.6 | 0.003 | |
Truancy | 10.70 | ||||
Did not skip class during the past month | 69.2 | 0.004 | 69.7 | 0.004 | |
Skipped class during the past month | 30.8 | 0.004 | 30.3 | 0.004 | |
Average academic grades | 11.00 | ||||
Average grade is a B− or higher | 83.1 | 0.003 | 83.2 | 0.003 | |
Average grade is a C+ or lower | 16.9 | 0.003 | 16.8 | 0.003 | |
Parental Education | 9.00 | ||||
No parent has a college degree | 49.9 | 0.004 | 50.0 | 0.004 | |
At least one parent has a college degree | 50.1 | 0.004 | 50.0 | 0.004 | |
Peer alcohol use | 8.10 | ||||
None/a few/some friends get drunk at least once a week | 79.7 | 0.003 | 80.0 | 0.003 | |
Most/all friends get drunk at least once a week | 20.3 | 0.003 | 20.0 | 0.003 | |
Peer marijuana use | 7.90 | ||||
None/a few/some friends smoke marijuana | 76.1 | 0.004 | 76.5 | 0.003 | |
Most/all friends smoke marijuana | 23.9 | 0.004 | 23.5 | 0.003 | |
Cohort (academic year) | 0.00 | ||||
2005–06 | 20.9 | 0.003 | 20.9 | 0.003 | |
2007–08 | 20.6 | 0.003 | 20.6 | 0.003 | |
2009–10 | 20.3 | 0.003 | 20.3 | 0.003 | |
2011–12 | 20.0 | 0.003 | 20.0 | 0.003 | |
2013–14 | 18.2 | 0.003 | 18.2 | 0.003 |
Notes: Unweighted n = 24,203. Weighted estimates are provided.
To address RQ1, logistic regression was used to estimate the unadjusted odds ratio of SAM use within specified intensity levels of alcohol and marijuana use separately (prevalence rates were also provided for descriptive purposes). To address RQ2, specified covariates were added to the logistic regression models to estimate the adjusted odds ratio of SAM use within specified intensity levels of alcohol and marijuana use separately. To address RQ3 and RQ4, logistic regression models were run simultaneously including alcohol use intensity, marijuana use intensity, and covariates. Using different intensity levels as the referent, three separate models were run to examine the associations between key alcohol and marijuana use intensity thresholds and adolescent SAM use.
RESULTS
Descriptive statistics for all variables (including controls) are provided in Table 1. During the past year, 20% of 12th graders reported SAM use. Regarding high-intensity drinking, in the last two weeks, 5% of respondents had a maximum of 10–14 and 5% had 15+ drinks in a row. Regarding high-intensity marijuana use, 3% had 1 joint a day and 7% had 2+ joints a day, on average, in the last 30 days.
Prevalence of adolescent SAM use by alcohol and marijuana use intensity (RQ1)
SAM use prevalence by intensity of alcohol and marijuana use is shown in Table 2. Past 12-month SAM use was greater among those who reported higher-intensity drinking in the past 2 weeks, with SAM use reported by 12% who had 0-4 drinks, 50% who had 5-9 drinks, and 60-61% who had 10-14 or 15+ drinks. SAM use was also greater among those who reported higher-intensity marijuana use in the past 30 days, with SAM use reported by 9% who did not use in the past month, 69% who had <1 joint/day, and 76-80% who had 1or 2+ joints/day.
Table 2.
Any Simultaneous Alcohol and Marijuana (SAM) Use During the Past 12 Months | ||||
---|---|---|---|---|
SAM Prevalence by Intensity Levela | Bivariate Analysis (separate) | Multivariable Analysis (separate) | ||
% | ORb (95% CI) | AORc (95% CI) | ||
Intensity of alcohol use (past 2 weeks) | Model 1 | Model 3 | ||
0 to 4 drinks in one sitting | 11.8 | (ref) | (ref) | |
5 to 9 drinks in one sitting | 49.6 | 7.36*** (6.60, 8.21) |
5.43*** (4.76, 6.19) |
|
10 to 14 drinks in one sitting | 61.2 | 11.8*** (10.1, 13.8) |
7.84*** (6.52, 9.41) |
|
15 or more drinks in one sitting | 60.4 | 11.2*** (9.68, 12.9) |
7.14*** (5.98, 8.52) |
|
Intensity of marijuana use (past 30 days) | Model 2 | Model 4 | ||
No marijuana use | 8.8 | (ref) | (ref) | |
Less than 1 joint a day | 68.8 | 22.8*** (20.1, 25.9) |
15.0*** (13.1, 17.2) |
|
1 joint a day | 75.5 | 31.9*** (25.0, 40.9) |
20.1*** (15.1, 26.7) |
|
2 or more joints a day | 79.5 | 40.1*** (34.1, 47.1) |
23.3*** (19.3, 28.2) |
|
Multivariable Analysis (combined) | Multivariable Analysis (combined) | Multivariate Analysis (combined) | ||
AORd (95% CI) | AOR (95% CI) | AOR (95% CI) | ||
Intensity of alcohol use (past 2 weeks) | Model 5a | Model 5b | Model 5c | |
0 to 4 drinks in one sitting | 11.8 | (ref) | 0.25*** (0.22, 0.29) |
0.17*** (0.14, 0.21) |
5 to 9 drinks in one sitting | 49.6 | 3.99*** (3.45, 4.63) |
(ref) | 0.69** (0.55, 0.87) |
10 to 14 drinks in one sitting | 61.2 | 5.75*** (4.69, 7.06) |
1.43** (1.14, 1.81) |
(ref) |
15 or more drinks in one sitting | 60.4 | 4.34*** (3.50, 5.39) |
1.08 (0.85, 1.39) |
0.76* (0.58, 0.99) |
Intensity of marijuana use (past 30 days) | ||||
No marijuana use | 8.8 | (ref) | 0.08*** (0.07, 0.10) |
0.06*** (0.04, 0.08) |
Less than 1 joint a day | 68.8 | 12.0*** (10.4, 14.0) |
(ref) | 0.72* (0.52, 0.99) |
1 joint a day | 75.5 | 16.8*** (12.4, 22.8) |
1.39* (1.01, 1.92) |
(ref) |
2 or more joints a day | 79.5 | 18.4*** (15.1, 22.4) |
1.52*** (1.22, 1.89) |
1.09 (0.77, 1.54) |
Notes: Unweighted n = 24,203.
p<.05;
p<.01;
p<.001.
Weighted percentage of respondents in each noted alcohol or marijuana use intensity level that also reported SAM use.
Bivariate odds ratio.
Adjusted odds ratio from multivariable models run separately for (a) alcohol intensity, and (b) marijuana intensity, controlling for sex, race/ethnicity, truancy, average academic grades, parental education, peer alcohol and marijuana use, and cohort.
Adjusted odds ratio from multivariate model simultaneously including both alcohol and marijuana use intensity measures, as well as controlling for sex, race/ethnicity, truancy, average academic grades, parental education, peer alcohol and marijuana use, and cohort. References groups across Models 5a, 5b, and 5c allow for statistical comparisons across all thresholds of use.
Before controlling for covariates, compared to students who drank 0-4 drinks/occasion, the odds of SAM use were approximately 7 times higher among respondents reporting 5-9 drinks, and 11 times higher for those reporting 10-14 or 15+ drinks (Table 2, Model 1). Compared to students with no past 30-day marijuana use, the bivariate odds of SAM use were 23 times higher for <1 joint/day, 32 times higher for 1 joint/day, and 40 times higher for 2+ joints/day (Table 2, Model 2).
Associations between adolescent alcohol/marijuana use intensity and SAM use controlling for covariates (RQ2)
After including control variables, associations remained highly significant but were reduced in magnitude by approximately one-third. Compared to students who drank 0-4 drinks/occasion, the multivariable odds of SAM use were approximately 5 times higher among respondents reporting 5-9 drinks, and 7 to 8 times higher for those reporting 10-14 or 15+ drinks (Table 2, Model 3). Compared to students with no past 30-day marijuana use, the multivariable odds of SAM use were 15 times higher for <1 joint/day, 20 times higher for 1 joint/day, and 23 times higher for 2+ joints/day (Table 2, Model 4).
Comparison of association strength for alcohol use intensity vs. marijuana use intensity with adolescent SAM use (RQ3)
When simultaneously including alcohol use intensity, marijuana use intensity, and covariates, both use intensity measures remained strongly associated with adolescent SAM use (Table 2, Model 5a). The magnitude of associations for alcohol use intensity were roughly 30% lower: the odds of SAM use were 4 to 6 times higher for those who had 5+ drinks compared to those having 0-4 drinks. After controlling for alcohol use intensity, the magnitude of associations for marijuana use intensity were approximately 20% lower: the odds of SAM use were 12 times higher for <1 joint/day and 17 to 18 times higher for 1 joint/day or more compared to those reporting no past 30-day use. (See Supplement Table 1 for full Model 5a results, including covariates.)
Threshold differences in association strength with adolescent SAM use (RQ4)
Adolescents who reported 10-14 drinks were significantly more likely to report SAM use than those reporting either 5-9 or 15+ drinks (Table 2, Models 5b and 5c). Adolescents who reported either 1 or 2+ joints/day were significantly more likely to report SAM use than those who reported <1 joint/day (Table 2, Model 5b). No significant difference in the odds of SAM use were observed between adolescents who reported 1 joint/day vs. 2+ joints/day (Table 2, Model 5c).
DISCUSSION
Alcohol and marijuana use intensity were strongly associated with SAM use among U.S. high school seniors, even after controlling for key covariates known to be associated with the likelihood of high-intensity alcohol and drug use. High school students at highest risk for engaging in SAM use were those who reported high-intensity use of either substance. Any SAM use in the past 12 months was reported by approximately 6 out of 10 students who reported high-intensity drinking in the past two weeks, and roughly 8 out of 10 students who reported high-intensity marijuana use in the last 30 days.
These findings should be considered within their limitations. The cross-sectional data structure precludes causal inference. All data were based on self-reports, which have been found to be reasonably reliable and valid under appropriate conditions provided by MTF.25,28,29 Results may not generalize to individuals who drop out of high school prior to their senior year. As lower educational attainment is associated with higher marijuana use,30 the findings here may be conservative with respect to SAM use prevalence. Limitations notwithstanding, the results of the current study were based on large nationally representative samples of U.S. 12th-grade students, spanning 10 years and permitting robust analysis of the prevalence of SAM use within the older adolescent population.
The current study extends prior research identifying alcohol and marijuana use frequency as correlates of adolescent SAM use,8 clearly indicating that use intensity (particularly high-intensity use) of both substances is a significant correlate of SAM use. Adolescents engaging in high-intensity marijuana use are particularly likely to report simultaneous use and thus experience negative consequences associated with SAM use. These findings have implications for both prevention and treatment. A particular challenge for prevention programs is to effectively communicate the risks associated with SAM use to high-intensity- and non-using adolescents; young adult research shows that SAM use decreases as perceived risks of SAM use increase.31 Screening and intervention efforts addressing SAM use are needed among high-intensity adolescent drug users.1,2,8 These combined risks—of high-intensity drinking, high-intensity marijuana use, and SAM use—are likely to exacerbate risks of using other substances and pose particular threats to adolescent health. Additional research on the particular effects of engaging in high-intensity drinking and high-intensity marijuana use both separately and simultaneously among adolescents is needed.
Supplementary Material
Acknowledgments
FUNDING
Development of this manuscript was supported by research grants R01AA023504 (to M. Patrick) and R01AA025037 (to C. Lee & M. Patrick) from the National Institute on Alcohol Abuse and Alcoholism, and from research grant L40DA042452 from the National Institute on Drug Abuse. Data collection was supported by research grant R01DA001411 (to L. Johnston) from the National Institute on Drug Abuse. The study sponsors had no role in the study design, collection, analysis or interpretation of the data, writing of the manuscript, or the decision to submit the paper for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of the study sponsors. The authors declare they have no conflicts of interest.
Footnotes
AUTHOR CONTRIBUTIONS
Drs. Patrick and Veliz contributed to the manuscript with respect to concept, interpretation of data, and the write-up of results. Dr. Veliz conducted the data analysis. Ms. Terry-McElrath assisted with interpretation of data and write-up of results.
References
- 1.Subbaraman MS, Kerr WC. Simultaneous versus concurrent use of alcohol and cannabis in the National Alcohol Survey. Alcohol Clin Exp Res. 2015;39(5):872–879. doi: 10.1111/acer.12698. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Terry-McElrath YM, O’Malley PM, Johnston LD. Alcohol and marijuana use patterns associated with unsafe driving among US high school seniors: high use frequency, concurrent use, and simultaneous use. J Stud Alcohol Drugs. 2014;75(3):378–389. doi: 10.15288/jsad.2014.75.378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Midanik LT, Tam TW, Weisner C. Concurrent and simultaneous drug and alcohol use: results of the 2000 National Alcohol Survey. Drug Alcohol Depend. 2007;90(1):72–80. doi: 10.1016/j.drugalcdep.2007.02.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Agosti V, Nunes E, Levin F. Rates of psychiatric comorbidity among U.S. residents with lifetime cannabis dependence. Am J Drug Alcohol Abuse. 2002;28(4):643–652. doi: 10.1081/ADA-120015873. [DOI] [PubMed] [Google Scholar]
- 5.Martin CS, Kaczynski NA, Maisto SA, Tarter RE. Polydrug use in adolescent drinkers with and without DSM-IV alcohol abuse and dependence. Alcohol Clin Exp Res. 1996;20(6):1099–1108. doi: 10.1111/j.1530-0277.1996.tb01953.x. [DOI] [PubMed] [Google Scholar]
- 6.Briere FN, Fallu JS, Descheneaux A, Janosz M. Predictors and consequences of simultaneous alcohol and cannabis use in adolescents. Addict Behav. 2011;36(7):785–788. doi: 10.1016/j.addbeh.2011.02.012. [DOI] [PubMed] [Google Scholar]
- 7.Collins RL, Ellickson PL, Bell RM. Simultaneous polydrug use among teens: prevalence and predictors. J Subst Abuse. 1998;10(3):233–253. doi: 10.1016/S0899-3289(99)00007-3. [DOI] [PubMed] [Google Scholar]
- 8.Terry-McElrath YM, O’Malley PM, Johnston LD. Simultaneous alcohol and marijuana use among US high school seniors from 1976 to 2011: trends, reasons, and situations. Drug Alcohol Depend. 2013;133(1):71–79. doi: 10.1016/j.drugalcdep.2013.05.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Pape H, Rossow I, Storvoll EE. Under double influence: assessment of simultaneous alcohol and cannabis use in general youth populations. Drug Alcohol Depend. 2009;101(1–2):69–73. doi: 10.1016/j.drugalcdep.2008.11.002. [DOI] [PubMed] [Google Scholar]
- 10.Thoma RJ, Monnig MA, Lysne PA, et al. Adolescent substance abuse: the effects of alcohol and marijuana on neuropsychological performance. Alcohol Clin Exp Res. 2011;35(1):39–46. doi: 10.1111/j.1530-0277.2010.01320.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Winward JL, Hanson KL, Tapert SF, Brown SA. Heavy alcohol use, marijuana use, and concomitant use by adolescents are associated with unique and shared cognitive decrements. J Int Neuropsychol Soc. 2014;20(8):784–795. doi: 10.1017/s1355617714000666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Medina KL, Hanson KL, Schweinsburg AD, et al. Neuropsychological functioning in adolescent marijuana users: subtle deficits detectable after a month of abstinence. J Int Neuropsychol Soc. 2007;13(5):807–820. doi: 10.1017/s1355617707071032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.National Center on Addiction and Substance Use. Position statements: adolescent substance use. 2016 http://www.centeronaddiction.org/newsroom/position-statements. Accessed October 20, 2016.
- 14.Hingson RW, White A. Trends in extreme binge drinking among US high school seniors. JAMA Pediatr. 2013;167(11):996–998. doi: 10.1001/jamapediatrics.2013.3083. [DOI] [PubMed] [Google Scholar]
- 15.Patrick ME, Schulenberg JE, Martz ME, et al. Extreme binge drinking among 12th-grade students in the United States: prevalence and predictors. JAMA Pediatr. 2013;167(11):1019–1025. doi: 10.1001/jamapediatrics.2013.2392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Patrick ME, Terry-McElrath YM, Kloska DD, Schulenberg JE. High-intensity drinking among young adults in the United States: prevalence, frequency, and developmental change. Alcohol Clin Exp Res. 2016 doi: 10.1111/acer.13164. Advanced online publication. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Eaton DK, Kann L, Kinchen S, et al. Youth Risk Behavior Surveillance: United States, 2009. MMWR Surveill Summ. 2010;59(5):1–142. [PubMed] [Google Scholar]
- 18.Miller JW, Naimi TS, Brewer RD, Jones SE. Binge drinking and associated health risk behaviors among high school students. Pediatrics. 2007;119(1):76–85. doi: 10.1542/peds.2006-1517. [DOI] [PubMed] [Google Scholar]
- 19.Spear LP. The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev. 2000;24(4):417–463. doi: 10.1016/S0149-7634(00)00014-2. [DOI] [PubMed] [Google Scholar]
- 20.National Highway Traffic Safety Administration. Traffic safety facts: fatal crashes involving young drivers (research note DOT HS 811 218) 2009 http://www-nrd.nhtsa.dot.gov/Pubs/811218.pdf. Accessed July 26, 2016.
- 21.Substance Abuse and Mental Health Services Administration. Results from the 2010 National Survey on Drug Use and Health. 2011 Sep; http://www.samhsa.gov/data/sites/default/files/NSDUHNationalFindingsResults2010-web/2k10ResultsRev/NSDUHresultsRev2010.pdf. Accessed July 27, 2016. [PubMed]
- 22.Chen K, Kandel DB, Davies M. Relationships between frequency and quantity of marijuana use and last year proxy dependence among adolescents and adults in the United States. Drug Alcohol Depend. 1997;46(1–2):53–67. doi: 10.1016/S0376-8716(97)00047-1. [DOI] [PubMed] [Google Scholar]
- 23.Patrick ME, Schulenberg JE. Alcohol use and heavy episodic drinking prevalence and predictors among national samples of American eighth- and tenth-grade students. J Stud Alcohol Drugs. 2010;71(1):41–45. doi: 10.15288/jsad.2010.71.41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Patrick ME, Schulenberg JE, O’Malley PM, et al. Adolescents’ reported reasons for alcohol and marijuana use as predictors of substance use and problems in adulthood. J Stud Alcohol Drugs. 2011;72(1):106–116. doi: 10.15288/jsad.2011.72.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Miech RA, Johnston L, O’Malley PM, et al. Monitoring the Future national survey results on drug use, 1975–2015: volume I, secondary school students. Ann Arbor, MI: Institute for Social Research, The University of Michigan; 2016. http://monitoringthefuture.org/pubs/monographs/mtf-vol1_2015.pdf. [Google Scholar]
- 26.Stata Statistical Software: Release 14. College Station, TX: StataCorp LP; [computer program] n.d. [Google Scholar]
- 27.Raghunathan TE, Lepkowski JM, Van Hoewyk J, Solenberger P. A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology. 2001;27(1):85–95. [Google Scholar]
- 28.Brener ND, Billy JO, Grady WR. Assessment of factors affecting the validity of self-reported health-risk behavior among adolescents: evidence from the scientific literature. J Adolesc Health. 2003;33(6):436–457. doi: 10.1016/s1054-139x(03)00052-1. [DOI] [PubMed] [Google Scholar]
- 29.O’Malley PM, Bachman JG, Johnston LD. Reliability and consistency in self reports of drug use. Int J Addict. 1983;18:805–824. doi: 10.3109/10826088309033049. [DOI] [PubMed] [Google Scholar]
- 30.Substance Abuse and Mental Health Services Administration. The NSDUH report: substance use among 12th grade aged youth by dropout status. Rockville, MD: Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality; 2013. [Google Scholar]
- 31.Yeomans-Maldonado G, Patrick ME. The effect of perceived risk on the combined use of alcohol and mairjuana: results from daily surveys. Add Beh Reports. 2015;2:33–36. doi: 10.1016/j.abrep.2015.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.