The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.
Conjoint Developmental Trajectories of Young Adult Substance Use
Open accessAbstract
Background. Despite the prominence of comorbidity among substances and the recent attention focused on trajectory‐based approaches to characterizing developmental change, little research in the substance use field has simultaneously considered both course and comorbidity. Methods. Using nationally representative panel data from the Monitoring the Future Project (MTF; n = 32,087; 56% female; 82% Caucasian), we identified developmental courses of heavy drinking, smoking, and marijuana use using 4 waves of data spanning ages 18 to 26 in a multi‐cohort young adult sample. Comorbidity was examined by cross‐classifying group membership in substance use trajectories. Finally, the extent to which risk factors (sex, race, alcohol expectancies, delinquency, sensation seeking, depressive affect, religiosity, academic achievement, and parent education) accounted for combinations of comorbidity that occurred at a rate greater than chance was examined. Results. For each substance, we identified 4 courses of substance use that were largely consistent with those found in the literature (chronic high use, late‐onset use, developmentally limited use, and low‐use), with a fifth moderate smoking group. Heavy drinking, smoking, and marijuana use were each highly associated, and distinct patterns of comorbidity were evident, with greatest agreement along the diagonal. All risk factors explained comorbidity to some degree, with delinquency, sensation seeking, alcohol expectancies, and religion in particular predicting combinations of comorbidity that were characterized by early onset and chronic high use. Conclusions. Cross‐substance trajectory concordance was high, with parallel changes in substance use over emerging adulthood. This suggests similar developmental timing of use, perhaps due to the experience of developmental transitions that have a common influence on use of different substances. Prediction of combinations of comorbidity characterized by early onset and persistently high use suggests that to some extent, individuals use multiple substances because of a common vulnerability to each, rather than directional relations among substances (e.g., cross‐tolerance, cueing).
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Consumption peaks among EAs (Jackson, Sher, & Schulenberg, 2008; H. R. White, Jackson, & Loeber, 2009)”
From Understanding the Role of Alcohol, Anxiety, and Trait Mindfulness in the Perpetration of Physical and Sexual Dating Violence in Emerging Adults. (2018) · cites this paper as Jackson, Sher, & Schulenberg, 2008
In the citing paper
“Of the 83 methodologically most rigorous studies, 75 (90%) reported inverse relationships with R/S involvement [213, 285–294].”
From Religion, Spirituality, and Health: The Research and Clinical Implications (2012) · cites this paper as [285]
Citations
Cites
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Emerging adulthood: A theory of development from the late teens through the twenties.
Arnett, J. J. (2000) · American Psychologist · doi:10.1037/0003-066x.55.5.469 · Cited by 16,843
Monitoring the Future: National Results on Adolescent Drug Use: Overview of Key Findings
Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2003) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1037/e560352009-001 · Cited by 6,930
Self-citationHawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992) · Psychological Bulletin · doi:10.1037/0033-2909.112.1.64 · Cited by 5,428
Akaike, H. (1987) · Psychometrika · doi:10.1007/bf02294359 · Cited by 5,264
Testing the number of components in a normal mixture
Lo, Y. (2001) · Biometrika · doi:10.1093/biomet/88.3.767 · Cited by 4,640
Akaike, H. (1987) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_29 · Cited by 4,027
Species Richness of Parasite Assemblages: Evolution and Patterns
Poulin, R. (1997) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.ecolsys.28.1.341 · Cited by 3,500
Analyzing developmental trajectories: A semiparametric, group-based approach.
Nagin, D. S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.2.139 · Cited by 2,346 · cited 1×
“To extract trajectories of substance use, we used a mixture modeling procedure (Muthén, 2001; Muthén and Shedden, 1999; Nagin, 1999; Nagin and Land, 1993).”
MethodLatent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
Muthén, B. (2004) · Sage eBooks · doi:10.4135/9781412986311.n19 · Cited by 1,541
Research works printed but not linked: 5
- Bachman JG, 2008, The Education–Drug Use Connection: How Successes and Failures in School Relate to Adolescent Smoking, Drinking, Drug Use, and Delinquency
- Johnston LD, 1985, Self‐Report Methods of Estimating Drug Use: Meeting Current Challenges to Validity, NIDA Research Monograph No. 57, 31
- Prescott CA, 1995, Alcohol and Tobacco: From Basic Science to Clinical Practice, NIAAA Research Monograph No. 30, 59
- Substance Abuse and Mental Health Services Administration, 2007, Results from the 2006 National Survey on Drug Use and Health: National Findings (Office of Applied Studies, NSDUH Series H‐32, DHHS Publication No. SMA 07‐4293)
- 10.1037/0021-843X.99.1.86 · DOI
Cited by
Sorted by citations
Religion, Spirituality, and Health: The Research and Clinical Implications
Koenig, H. G. (2012) · ISRN Psychiatry · doi:10.5402/2012/278730 · Cited by 2,423
“Of the 83 methodologically most rigorous studies, 75 (90%) reported inverse relationships with R/S involvement [213, 285–294].”
BackgroundHandbook of Religion and Health
Koenig, H. G., VanderWeele, T. J., & Peteet, J. R. (2023) · doi:10.1093/oso/9780190088859.001.0001 · Cited by 1,160
Simultaneous versus concurrent use of alcohol and cannabis in the National Alcohol Survey
Subbaraman, M. S., & Kerr, W. C. (2015) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.12698 · Cited by 434
“, 2009), which can be explained by either common risk factors, or the nature of the substances causing use of one to lead to use of the other (Jackson et al., 2008).”
Public Health Implications of Raising the Minimum Age of Legal Access to Tobacco Products
Board on Population Health and Public Health Practice (2015) · National Academies Press eBooks · doi:10.17226/18997 · Cited by 347
Nelson, S. E., Ryzin, M. J. V., & Dishion, T. J. (2014) · Development and Psychopathology · doi:10.1017/s0954579414000650 · Cited by 216
“…in studies that found similar trajectories for each substance, adolescents who belonged to a specific trajectory for one substance were more likely to belong to that same trajectory for another substance (e.g., Flory, Lynam, Milich, Leukefeld, & Clayton, 2004; Jackson, Sher, & Schulenberg, 2008).”
Alcohol use trajectories and the ubiquitous cat's cradle: Cause for concern?
Sher, K. J., Jackson, K. M., & Steinley, D. (2011) · Journal of Abnormal Psychology · doi:10.1037/a0021813 · Cited by 179
Self-citationPatrick, M. E., Terry‐McElrath, Y. M., Kloska, D. D., & Schulenberg, J. E. (2016) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13164 · Cited by 163
“Future research should investigate whether there are multiple trajectories of high-intensity drinking that mirror the multiple trajectories that have been documented for binge drinking (Jackson et al., 2008; Maggs and Schulenberg, 2004; Nelson et al., 2015; Schulenberg et al., 1996a).”
BackgroundInfluentialSelf-citationSuffoletto, B., Kristan, J., Callaway, C., Kim, K. H., Chung, T., Monti, P. M., & Clark, D. B. (2014) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2014.06.010 · Cited by 151
Drug use patterns and continuous enrollment in college: results from a longitudinal study
Arria, A. M., Garnier-Dykstra, L. M., Caldeira, K. M., Vincent, K. B., Winick, E. R., & O’Grady, K. E. (2013) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2013.74.71 · Cited by 149
A Motivational Model of Alcohol Use: Determinants of Use and Change
Cox, W. M., & Klinger, E. (2011) · Wiley eBooks · doi:10.1002/9780470979952.ch6 · Cited by 150
Trocki, K. F., Drabble, L. A., & Midanik, L. T. (2009) · Psychology of Addictive Behaviors · doi:10.1037/a0017334 · Cited by 139
Religion, Spirituality, and Mental Health
Dein, S. L., Cook, C. C. H., & Koenig, H. G. (2012) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0b013e31826b6dle · Cited by 155
“Religious measures are generally inversely related to deviance, and this is especially true among the most rigorous studies (Jackson et al., 2008; Johnson et al., 2000).”
BackgroundBrook, J. S., Lee, J. Y., Brown, E. N., Finch, S. J., & Brook, D. W. (2011) · Psychological Reports · doi:10.2466/10.18.pr0.108.2.339-357 · Cited by 128
Religiosity, race/ethnicity, and alcohol use behaviors in the United States
Meyers, J. L., Brown, Q. L., Grant, B. F., & Hasin, D. S. (2016) · Psychological Medicine · doi:10.1017/s0033291716001975 · Cited by 127
“…use, consume fewer drinks per occasion, and report fewer AUD symptoms (Miller et al. 2000; Trinkoff et al. 2000; Degenhardt et al. 2007; Michalak et al. 2007; Stockdale et al. 2007; Wallace et al. 2007; Jackson et al. 2008; Edlund et al. 2010; Moscati & Mezuk, 2014; Holt et al. 2015; Jeynes, n.d.).”
BackgroundEvidence for a Multi-Dimensional Latent Structural Model of Externalizing Disorders
the Conduct Problems Prevention Research Group, Witkiewitz, K., King, K., McMahon, R. J., Wu, J., Luk, J., Bierman, K. L., Coie, J. D., Dodge, K. A., Greenberg, M. T., et al. (2013) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-012-9674-z · Cited by 110
Khurana, A., Römer, D., Betancourt, L. M., & Hurt, H. (2017) · Addiction · doi:10.1111/add.13792 · Cited by 122
“There is a high degree of covariance in the trajectories of use of these three drugs [23,24] as well as a high degree of comorbidity in early onset of SUD for all three drugs [9].”
D'Amico, E. J., Tucker, J. S., Miles, J. N. V., Ewing, B. A., Shih, R. A., & Pedersen, E. R. (2016) · Addiction · doi:10.1111/add.13442 · Cited by 105
Association of Marijuana Use With Blunted Nucleus Accumbens Response to Reward Anticipation
Martz, M. E., Trucco, E. M., Cope, L. M., Hardee, J. E., Jester, J. M., Zucker, R. A., & Heitzeg, M. M. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.1161 · Cited by 112
Patrick, M. E., Schulenberg, J. E., O’Malley, P. M., Maggs, J. L., Kloska, D. D., Johnston, L. D., & Bachman, J. G. (2011) · Psychology of Addictive Behaviors · doi:10.1037/a0022445 · Cited by 98
“In addition, reasons for use at age 18 have been shown to be significant time-invariant predictors of drug use trajectories (Jackson et al., 2008; Schulenberg, Wadsworth, O’Malley, Bachman, & Johnston, 1996) and prospective predictors of alcohol and marijuana use disorders at age 35 (Patrick, Schulenberg, O’Malley, Jo…”
Self-citationBerg, N., Kiviruusu, O. H., Karvonen, S., Kestilä, L., Lintonen, T., Rahkonen, O., & Huurre, T. M. (2013) · Alcohol and Alcoholism · doi:10.1093/alcalc/agt026 · Cited by 93
“We found trajectories similar to those found in previous studies based on shorter follow-up times (Hill et al., 2000; Maggs and Schulenberg, 2005b; Jackson et al., 2008).”
ResultLucchese, F. A., & Koenig, H. G. (2013) · Brazilian Journal of Cardiovascular Surgery · doi:10.5935/1678-9741.20130015 · Cited by 98
“, 131 studies) found inverse relationships [21-23]; only one study reported a positive relationship [24].”
Adolescent alcohol use trajectories: Predictors and subsequent problems
Danielsson, A., Wennberg, P., Tengström, A., & Romelsjö, A. (2010) · Addictive Behaviors · doi:10.1016/j.addbeh.2010.05.001 · Cited by 90
Walton, M. A., Bohnert, K. M., Resko, S. M., Barry, K. L., Chermack, S. T., Zucker, R. A., Zimmerman, M. A., Booth, B. M., & Blow, F. C. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.04.020 · Cited by 88
Changes in At-Risk American Men's Crime and Substance Use Trajectories Following Fatherhood
Kerr, D., Capaldi, D. M., Owen, L. D., Wiesner, M., & Pears, K. C. (2011) · Journal of Marriage and the Family · doi:10.1111/j.1741-3737.2011.00864.x · Cited by 91
Terry‐McElrath, Y. M., O’Malley, P. M., Johnston, L. D., Bray, B. C., Patrick, M. E., & Schulenberg, J. E. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.11.021 · Cited by 78
“…et al., 2004; Passarotti et al., 2015); not attending college (Nelson et al., 2015; Passarotti et al., 2015); co-morbid substance use (Jackson et al., 2008; Passarotti et al., 2015; Silins et al., 2013); and low religious commitment (Brown et al., 2004; Jackson et al., 2008; Silins et al., 2013).”
BackgroundResultInfluentialSelf-citationCannabis use during treatment for alcohol use disorders predicts alcohol treatment outcomes
Subbaraman, M. S., Metrik, J., Patterson, D., & Swift, R. M. (2016) · Addiction · doi:10.1111/add.13693 · Cited by 73
Khurana, A., Römer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., & Hurt, H. (2014) · Development and Psychopathology · doi:10.1017/s0954579414000765 · Cited by 78
Marijuana use trajectories during college predict health outcomes nine years post-matriculation.
Arria, A. M., Caldeira, K. M., Bugbee, B. A., Vincent, K. B., & O’Grady, K. E. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.12.009 · Cited by 71
Distinguishing subpopulations of marijuana users with latent profile analysis
Pearson, M. R., Bravo, A. J., & Conner, B. T. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.10.043 · Cited by 70
“, 2004; Windle and Wiesner, 2004) and emerging/young adults (Arria et al., 2016; Brook et al., 2011; Brown et al., 2004; Caldeira et al., 2012; Ellickson et al., 2004; Jackson et al., 2008; Juon et al., 2011; Schulenberg et al., 2005; Tait et al., 2011).”
BackgroundPatterns of substance use across the first year of college and associated risk factors
Cho, S. B., Llaneza, D. C., Adkins, A. E., Cooke, M., Kendler, K. S., Clark, S. L., & Dick, D. M. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00152 · Cited by 68
“Further, the majority of comorbidity studies across adolescence and young adulthood have focused on alcohol, tobacco, and/or cannabis (9, 10, 17, 20, 21).”
BackgroundHomel, J., Thompson, K., & Leadbeater, B. J. R. (2014) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2014.75.674 · Cited by 73
“First, several past studies of latent marijuana use trajectories report more than three classes (e.g., Jackson et al., 2008; Windle and Wiesner, 2004).”
BackgroundScholes‐Balog, K. E., Hemphill, S. A., Evans-Whipp, T. J., Toumbourou, J. W., & Patton, G. C. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.09.008 · Cited by 67
Identifying classes of conjoint alcohol and marijuana use in entering freshmen.
Haas, A. L., Wickham, R. E., Macia, K. S., Shields, M., Macher, R. B., & Schulte, T. (2015) · Psychology of Addictive Behaviors · doi:10.1037/adb0000089 · Cited by 67
Marijuana use trajectories during the post-college transition: Health outcomes in young adulthood
Caldeira, K. M., O’Grady, K. E., Vincent, K. B., & Arria, A. M. (2012) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2012.02.022 · Cited by 91
“Nevertheless, with the exception of the fling group, these trajectories were later confirmed in a similar study using the full range of marijuana use frequency (Jackson et al., 2008).”
Finlay, A. K., WHITE, H. R., Mun, E., Cronley, C. C., & Lee, C. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.08.020 · Cited by 65
“Future research examining the co-occurrence of alcohol and marijuana may yield important results because the combination of the two behaviors may exacerbate negative outcomes (Jackson et al., 2008).”
BackgroundPatterns of Alcohol Use in Early Adolescence Predict Problem Use at Age 16
Heron, J., Macleod, J., Munafo, M. R., Melotti, R., Lewis, G., Tilling, K. M., & Hickman, M. (2012) · Alcohol and Alcoholism · doi:10.1093/alcalc/agr156 · Cited by 64
“This work has typically led to the extraction of between two and five classes, e.g. two (Li et al., 2002), three (Flory et al., 2004), four (Jackson et al., 2008) and five (Tucker et al., 2003).”
BackgroundDevelopmental Trajectories of Marijuana Use From Adolescence to Adulthood
Brook, J. S., Zhang, C., & Brook, D. W. (2011) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2010.248 · Cited by 63
“Nevertheless, the trajectories of marijuana use in the present study corresponded broadly, with slight differences in some cases, to the trajectories found by our group in prior work (conducted among a different sample),(18) as well as those observed by other investigators.(5,19) However, Schulenberg et al(16) identif…”
Effect of alcohol consumption in prenatal life, childhood, and adolescence on child development
Foltran, F., Gregori, D., Franchin, L., Verduci, E., & Giovannini, M. (2011) · Nutrition Reviews · doi:10.1111/j.1753-4887.2011.00417.x · Cited by 62
Comorbid Trajectories of Tobacco and Marijuana Use as Related to Psychological Outcomes
Brook, J. S., Lee, J. Y., Brown, E. N., & Finch, S. J. (2012) · Substance Abuse · doi:10.1080/08897077.2011.640202 · Cited by 53
“Jackson KM, Sher KJ, Schulenberg JE.”
BackgroundBrodbeck, J., Bachmann, M., Croudace, T. J., & Brown, A. (2012) · Developmental Psychology · doi:10.1037/a0030873 · Cited by 51
“Evidence for the course of cannabis use is inconsistent and ranges from stable high trajectories (Perkonigg et al., 2008) to U-shape curve (Chen & Jacobson, 2012; Lee et al., 2010) to a decrease (Jackson, Sher, & Schulenberg, 2008; Terry-McElrath & O’Malley, 2011).”
BackgroundMaslowsky, J., Schulenberg, J. E., O’Malley, P. M., & Kloska, D. D. (2013) · Mental Health and Substance Use · doi:10.1080/17523281.2013.786750 · Cited by 51
Self-citationLee, J. Y., Kim, W., Brook, J. S., Finch, S. J., & Brook, D. W. (2019) · Journal of Child and Family Studies · doi:10.1007/s10826-019-01629-9 · Cited by 50
Transitions in the use of multiple substances from adolescence to young adulthood
Merrin, G. J., Thompson, K., & Leadbeater, B. J. R. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.05.015 · Cited by 50
Rabbi, M., Philyaw-Kotov, M. L., Cunningham, R. M., Bonar, E. E., Nahum-Shani, I. B., Klasnja, P., Walton, M. A., & Murphy, S. A. (2018) · JMIR Research Protocols · doi:10.2196/resprot.9850 · Cited by 48
“Longitudinal panel studies show that, as youth develop, evolving interactions between individual, social, and community risk and protective factors can decrease or accelerate substance use trajectories [15-18].”
Risk factors for young adult substance use among women who were teenage mothers
Genna, N. M. D., Cornelius, M. D., & Donovan, J. E. (2009) · Addictive Behaviors · doi:10.1016/j.addbeh.2008.12.014 · Cited by 46
Cheadle, J. E., Stevens, M., Williams, D. T., & Goosby, B. J. (2013) · Social Science Research · doi:10.1016/j.ssresearch.2013.05.001 · Cited by 45
“, 2010) and is also correlated with alcohol use (Jackson et al., 2008).”
López‐Castro, T., Hu, M., Papini, S., Ruglass, L. M., & Hien, D. A. (2015) · Drug and Alcohol Review · doi:10.1111/dar.12230 · Cited by 46
“The detection of three distinct subgroups (low risk/infrequent use, high risk/infrequent use and high risk/ frequent use) echoes findings from previous research that have modelled alcohol and substance use with LGMM techniques [34,36,37] and provides further confirmation of the presence of clinically significant subgr…”
ResultBuu, A., Dabrowska, A., Mygrants, M., Puttler, L. I., Jester, J. M., & Zucker, R. A. (2014) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2014.75.850 · Cited by 46
“ANATIONAL SURVEY FOUND that alcohol use is highly comorbid with nicotine use and marijuana use among young people (Jackson et al., 2008).”
BackgroundHarrison, E. L. R., & McKee, S. A. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.02.022 · Cited by 46
“Research examining joint trajectories of smoking and drinking in young adults has either focused on college samples, or has not examined college status (Jackson et al., 2008).”
BackgroundCan Cannabis be Considered a Substitute Medication for Alcohol?
Subbaraman, M. S. (2014) · Alcohol and Alcoholism · doi:10.1093/alcalc/agt182 · Cited by 46
Adair, C. E., Streiner, D. L., Barnhart, R., Kopp, B. C., Veldhuizen, S., Patterson, M., Aubry, T., Lavoie, J. A. A., Sareen, J., LeBlanc, S. R., et al. (2016) · The Canadian Journal of Psychiatry · doi:10.1177/0706743716645302 · Cited by 53
Ordering in alcohol and cannabis co-use: Impact on daily consumption and consequences
Gunn, R. L., Sokolovsky, A. W., Stevens, A. K., Metrik, J., WHITE, H. R., & Jackson, K. M. (2020) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2020.108339 · Cited by 46
“, 2006) and that heavier alcohol use is associated with more frequent cannabis use (Jackson et al., 2008; Terry-McElrath et al., 2017).”
BackgroundSelf-citationLow, S., Tiberio, S. S., Shortt, J., Capaldi, D., & Eddy, J. (2017) · Psychology of Violence · doi:10.1037/vio0000038 · Cited by 38
Walton, M. A., Epstein-Ngo, Q. M., Carter, P. M., Zimmerman, M. A., Blow, F. C., Buu, A., Goldstick, J. E., & Cunningham, R. M. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.11.040 · Cited by 36
“The baseline factor consistently associated with greater marijuana use trajectories was physical aggression, which is consistent with findings for externalizing behaviors (Brook et al., 2011; Chassin et al., 2004; Jackson et al., 2008; Schulenberg et al., 2005), likely due to shared risk and promotive factors (e.”
BackgroundResultInfluentialReligiosity and Exposure to Users in Explaining Illicit Drug Use among Emerging Adults
Palamar, J. J., Kiang, M. V., & Halkitis, P. N. (2012) · Journal of Religion and Health · doi:10.1007/s10943-012-9660-3 · Cited by 34
“Religiosity, in many respects, can be seen as a proxy for conventionalism (Jackson et al. 2008); therefore, we need to explore novel prevention methods for such ‘‘nonconventional’’ individuals.”
BackgroundMustanski, B. S., Byck, G. R., Dymnicki, A. B., Sterrett, E., Henry, D. B., & Bolland, J. M. (2013) · Development and Psychopathology · doi:10.1017/s0954579413000436 · Cited by 33
Buu, A., Dabrowska, A., Heinze, J. E., Hsieh, H., & Zimmerman, M. A. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.06.015 · Cited by 35
“Jackson et al. (2008) analyzed 4 waves of data spanning ages 18–26 from a nationally representative sample of high school seniors and found that heavy drinking, nicotine use, and marijuana use are highly associated during emerging adulthood.”
BackgroundMerrin, G. J., & Leadbeater, B. J. R. (2018) · Substance Use & Misuse · doi:10.1080/10826084.2018.1455702 · Cited by 33
“Past research also shows differences in trajectory classes related to the co-use of two substances from adolescence to young adulthood (Cance, Talley, MorganLopez, & Fromme, 2017; Hix-Small et al., 2004; Jackson, Sher, & Schulenberg, 2005; Jackson et al., 2008).”
BackgroundChinman, M., Ebener, P. A., Malone, P. S., Cannon, J. S., D’Amico, E. J., & Acosta, J. (2018) · Implementation Science · doi:10.1186/s13012-018-0825-7 · Cited by 32
Duncan, S. C., Gau, J. M., Farmer, R. F., Seeley, J. R., Kosty, D. B., & Lewinsohn, P. M. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.01.025 · Cited by 36
Course of comorbidity of tobacco and marijuana use: Psychosocial risk factors
Brook, J. S., Lee, J. Y., Finch, S. J., & Brown, E. N. (2010) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntq027 · Cited by 29
“Our research builds on the work of Jackson et al. (2008) in two important ways.”
BackgroundMethodResultInfluentialTeen Alcohol Use and Social Networks: The Contributions of Friend Influence and Friendship Selection
Cheadle, J. E., & Goosby, W. B. J. (2015) · Journal of Alcoholism and Drug Dependence · doi:10.4172/2329-6488.1000224 · Cited by 29
“Because access may support alcohol use selectivity, whether alcohol is easy to get (observation 2) is measured from the question “Is alcohol easily available to you in your home?” Finally, whether the youth is a regular smoker (ever smoked at least one cigarette a day for at least 30 days) is a time-varying covariate…”
BackgroundBrook, J. S., Zhang, C., Rubenstone, E., Primack, B. A., & Brook, D. W. (2016) · Addictive Behaviors · doi:10.1016/j.addbeh.2016.06.003 · Cited by 36
Are there secondary effects on marijuana use from brief alcohol interventions for college students?
White, H., Yang, J., Ray, A. E., Huh, D., Atkins, D. C., Larimer, M. E., Fromme, K., Corbin, W., Baer, J., LaBrie, J., et al. (2015) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2015.76.367 · Cited by 25
“This finding is consistent with trajectory studies of young adults (Jackson et al., 2008; Tucker et al., 2005).”
ResultLatvala, A., Tuulio‐Henriksson, A., Perälä, J., Saarni, S. I., Aalto‐Setälä, T., Aro, H. M., Korhonen, T., Koskinen, S. V. P., Lönnqvist, J. K., Kaprio, J. A., et al. (2009) · BMC Psychiatry · doi:10.1186/1471-244x-9-73 · Cited by 31
“As substance use and the incidence of SUDs generally peak around this age [2,35], studying young adults captures most cases within a reasonably short period after disorder onset and minimizes complications arising from the course of the disorder.”
Brunborg, G. S., Scheffels, J., Tokle, R., Buvik, K., Kvaavik, E., & Andreas, J. B. (2019) · BMJ Open · doi:10.1136/bmjopen-2019-031084 · Cited by 28
Littlefield, A. K., & Winograd, R. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-398336-7.00038-3 · Cited by 28
WHITE, H. R., Bechtold, J., Loeber, R., & Pardini, D. A. (2015) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2015.08.031 · Cited by 26
Patrick, M. E., Terry‐McElrath, Y. M., Schulenberg, J. E., & Bray, B. C. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.06.004 · Cited by 26
Self-citationLindgren, K. P., Mullins, P. M., Neighbors, C., & Blayney, J. A. (2010) · Addictive Behaviors · doi:10.1016/j.addbeh.2009.12.024 · Cited by 25
Goldstick, J. E., Heinze, J. E., Ngo, Q., Hsieh, H., Walton, M. A., Cunningham, R. M., & Zimmerman, M. A. (2017) · Substance Use & Misuse · doi:10.1080/10826084.2017.1342660 · Cited by 24
Froiland, J. M., Worrell, F. C., Olenchak, F. R., & Kowalski, M. J. (2020) · Addiction Research & Theory · doi:10.1080/16066359.2020.1857740 · Cited by 25
“Moreover, there is a relationship between alcohol and marijuana use in adolescence, with alcohol use being most common and dual-use more common than marijuana use alone (Jackson et al. 2008; Pape et al. 2009).”
BackgroundA prospective study of stress and alcohol craving in heavy drinkers
Tartter, M. A., & Ray, L. A. (2012) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2012.03.007 · Cited by 23
“Moreover, studies have shown that it is normative for most young people to reduce their drinking after they transition out of their student role, while a minority goes on to develop alcohol problems (Jackson et al., 2008).”
InfluentialLongitudinal Conjoint Patterns of Alcohol and Tobacco Use Throughout Emerging Adulthood
Cance, J. D., Talley, A. E., Morgan‐López, A. A., & Fromme, K. (2016) · Substance Use & Misuse · doi:10.1080/10826084.2016.1228677 · Cited by 23
“However, a series of studies with a sample of 18 to 26 year olds found, using mixture modeling procedures, that patterns of heavy alcohol use and cigarette smoking were similar (Jackson et al., 2008) and drinking without smoking was more common than smoking without drinking (Jackson et al., 2009).”
BackgroundNgo, Q. M., Ramirez, J. I., Stein, S. F., Cunningham, R. M., Chermack, S. T., Singh, V., & Walton, M. A. (2018) · Violence Against Women · doi:10.1177/1077801218781886 · Cited by 26
Adam, A., Faouzi, M., & Gmel, G. E. (2011) · Swiss Medical Weekly · doi:10.4414/smw.2011.13226 · Cited by 22
Perceived friends’ use as a risk factor for marijuana use across young adulthood.
Patrick, M. E., Kloska, D. D., Vasilenko, S. A., & Lanza, S. T. (2016) · Psychology of Addictive Behaviors · doi:10.1037/adb0000215 · Cited by 21
Patrick, M. E., Kloska, D. D., Mehus, C. J., Terry‐McElrath, Y. M., O’Malley, P. M., & Schulenberg, J. E. (2021) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2021.82.93 · Cited by 21
“Rates of change in alcohol and marijuana use from late adolescence through mid-young adulthood have shown strong concordance (Jackson et al., 2008), but the degree to which alcohol and marijuana use are correlated at given ages from late adolescence to midlife is not known.”
BackgroundSelf-citationGillespie, N. A., Lubke, G. H., Gardner, C. O., Neale, M. C., & Kendler, K. S. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.11.015 · Cited by 22
Cobb, C. O., Soule, E. K., Rudy, A. K., Sutter, M. E., & Cohn, A. M. (2018) · Substance Use & Misuse · doi:10.1080/10826084.2018.1473437 · Cited by 21
“, 2012), particularly alcohol (Cohn et al., 2016; Jackson et al., 2008; Schauer et al., 2015; Schauer et al., 2016), but this study is the first to”
BackgroundMethodInfluentialThe Behavioral Economics of Alcohol Demand in French and American University Students
Martinetti, M. P., Chalmé, R. L., Berman, H. L., André, J., Sokolowski, M. B. C., Wiley, S., & Naassïla, M. (2019) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13954 · Cited by 22
Concussion, Sensation-Seeking and Substance Use among Us Adolescents
Veliz, P. T., McCabe, S. E., Eckner, J. T., & Schulenberg, J. E. (2019) · Substance Abuse · doi:10.1080/08897077.2019.1671938 · Cited by 21
Self-citationDevelopmental Sequences and Comorbidity of Substance Use and Violence
White, H. R., Jackson, K. M., & Loeber, R. (2009) · Handbooks of Sociology and Social Research · doi:10.1007/978-1-4419-0245-0_21 · Cited by 34
Self-citationKerr, D., Owen, L. D., & Capaldi, D. M. (2011) · Addiction · doi:10.1111/j.1360-0443.2011.03500.x · Cited by 20
“, Monitoring The Future (13)], suggest their smoking patterns may be representative of those of White, lower SES American men, a group at high risk for smoking and smoking-related problems (14).”
BackgroundTrajectories of injecting behavior in the Amsterdam Cohort Study among drug users
Mikolajczyk, R., Horn, J., Prins, M., Wiessing, L. G., & Kretzschmar, M. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.08.020 · Cited by 20
Brook, J. S., Lee, J. Y., Rubenstone, E., Brook, D. W., & Finch, S. J. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.301880 · Cited by 20
Elam, K. K., Jung, C., Connell, A. M., & Ha, T. (2022) · Addictive Behaviours · doi:10.1016/j.addbeh.2022.107586 · Cited by 15
Cumulative Stress and Substance Use From Early Adolescence to Emerging Adulthood
Hoffmann, J. P. (2016) · Journal of Drug Issues · doi:10.1177/0022042616638492 · Cited by 17
“For example, recent research has indicated that adolescent substance use follows four or five trajectory groups, ranging from abstainers to chronic users (Jackson et al., 2008; Schulenberg et al., 2005; Tucker et al., 2005).”
BackgroundInfluentialPost-High School Changes in Tobacco and Cannabis Use in the United States
O’Brien, F., Simons‐Morton, B. G., Chaurasia, A. K., Luk, J. W., Haynie, D. L., & Liu, D. (2017) · Substance Use & Misuse · doi:10.1080/10826084.2017.1322983 · Cited by 19
Karriker‐Jaffe, K. J., Subbaraman, M. S., Greenfield, T. K., & Kerr, W. C. (2018) · Nordic Studies on Alcohol and Drugs · doi:10.1177/1455072518806122 · Cited by 18
Brook, J. S., Rubenstone, E., Zhang, C., & Brook, D. W. (2011) · Addictive Behaviors · doi:10.1016/j.addbeh.2011.09.004 · Cited by 17
“Jackson, Sher, and Schulenberg (2008) discerned seven comorbid trajectory groups of tobacco and marijuana use (including abstainers) from late adolescence to young adulthood, and identified psychosocial factors, such as delinquency, which were related to trajectory group membership.”
Reid, H. M. O., Lysenko‐Martin, M. R., Snowden, T. M., Thomas, J. D., & Christie, B. R. (2020) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14332 · Cited by 16
The role of person–environment interactions in increased alcohol use in the transition to college
Quinn, P. D., & Fromme, K. (2011) · Addiction · doi:10.1111/j.1360-0443.2011.03411.x · Cited by 17
Lee, J. Y., Brook, J. S., Rosa, M. R. D. L., Kim, Y.-J., & Brook, D. W. (2017) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2017.1288734 · Cited by 15
Developmental Trajectories of Adolescent Substance Use
Yamada, S., Pepler, D. J., Jiang, D., Cappadocia, M. C., Craig, W., & Connolly, J. (2015) · Journal of Child & Adolescent Substance Abuse · doi:10.1080/1067828x.2014.884482 · Cited by 18
“In contrast to other studies, we did not identify a group of youths who decreased in substance use levels or used at a consistently low level in the present study (Clark, Jones, Wood, & Cornelius, 2006; Connell et al., 2006; Jackson et al., 2008; Tucker et al., 2005; Windle & Wiesner, 2004).”
MethodResultInfluentialThe Rate of Change in Alcohol Misuse Across Adolescence is Heritable
Edwards, A. C., Heron, J., Vladimirov, V. I., Wolen, A. R., Adkins, D. E., Alıev, F., Hickman, M., & Kendler, K. S. (2016) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13262 · Cited by 15
“Previous studies of samples in a similar age range have also shown that alcohol use/misuse increases during this period (Casswell et al., 2002; Jackson et al., 2008; Tucker et al., 2003).”
Gripe, I., Danielsson, A., & Ramstedt, M. (2018) · Addiction · doi:10.1111/add.14244 · Cited by 15
Terry‐McElrath, Y. M., O’Malley, P. M., Johnston, L. D., & Schulenberg, J. E. (2019) · Addiction · doi:10.1111/add.14548 · Cited by 16
Self-citationDong, H., Hayashi, K., Fairbairn, N. S., Milloy, M., DeBeck, K., Wood, E., & Kerr, T. H. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106655 · Cited by 14
Kleinjan, M., Poelen, E. A. P., Engels, R. C. M. E., & Verhagen, M. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2011.00422.x · Cited by 14
Metadata
- Authors
- Jackson, K. M., Sher, K. J., & Schulenberg, J. E.
- Affiliations
- Brown University (US)
- Corresponding author
- Jackson, Kristina M.
- Venue
- Alcoholism: Clinical and Experimental Research
- Publisher
- Wiley
- Published
- 2008-03-11
- Volume
- 32
- Issue
- 5
- Pages
- 723-737
- ISSN
- 0145-6008 (ISSN-L)
- 1530-0277
- PMC
- PMC2705997
- OpenAlex
- W2049130925
- Cited by
- 206
- References
- 104
- Citations by year
- 2026: 2 · 2025: 6 · 2023: 46 · 2022: 5 · 2021: 3 · 2020: 10 · 2019: 7 · 2018: 18 · 2017: 6 · 2016: 20 · 2015: 15 · 2014: 10 · 2013: 10 · 2012: 16
- FWCI
- 7.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alcoholism Clinical and Experimental Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (AA12383, K01AA013938, R21AA012383, AA13938, K05AA017242)
- National Institute on Drug Abuse (DA-01411, R01DA001411)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- substance use trajectories, comorbidities, emerging adulthood, heavy drinking, smoking, cannabis use, developmental transitions, delinquency, sensation seeking, alcohol expectancies, religiosity, risk factors, early onset of substance use
- MeSH terms
- Adolescent, Adult, Age Factors, Alcohol Drinking, Female, Humans, Male, Marijuana Smoking, Risk Factors, Smoking, Models, Statistical, Comorbidity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review