Abstract
Compared to other age cohorts, emerging adults, ages 18–25 years old, have the highest rates of marijuana (MJ) use. We examined the relationship of using MJ to cope with negative emotions, relative to using MJ for enhancement or social purposes, to MJ-associated problems and psychological distress among emerging adults. Participants were 288 community-dwelling emerging adults who reported current MJ use as part of a ‘Health Behaviors’ study. Linear and logistic regressions were used to evaluate the adjusted association of coping-motivated MJ use with DSM-5 Cannabis Use Disorder, MJ-related problem severity, depressive symptoms, and perceived stress. After adjusting for other variables in the regression model, using MJ to cope was positively associated with having DSM-5 cannabis use disorder (OR = 1.85, 95%CI 1.31; 2.62, p < .01), MJ problem severity (b = .41, 95% CI .24; .57, p < .01), depression (b = .36, 95% CI .23; .49, p < .01), and perceived stress (b = .37, 95% CI .22; .51, p < .01). Using MJ for enhancement purposes or for social reasons was not associated significantly with any of the dependent variables. Using MJ to cope with negative emotions in emerging adults is associated with MJ-related problems and psychological distress. Assessment of MJ use motivation may be clinically important among emerging adults.
Keywords: Marijuana, DSM-5, motives, coping, emerging adults
Evolving social attitudes towards marijuana (MJ) have led to legalization of its use for medical and recreational purposes in some U.S. states. Over the past 30 years, disapproval of MJ use has decreased across birth cohorts (Keyes et al., 2011), with emerging adults (ages 18–25) being most accepting of use. Compared to other age cohorts, emerging adults (Arnett, 2001) also have the highest rates of MJ use, and substance use disorders peak during this period (SAMHSA, 2013). Indeed, studies have shown that nearly 10% of college-based emerging adults meet criteria for a MJ use disorder (Caldeira, Arria, O’Grady, Vincent, & Wish, 2008; Caldeira et al., 2009).
Reasons for substance use can vary between and within individuals (Cooper, 1994). Common motives are to cope with negative emotions or distress (e.g., “to forget my worries”), to conform (e.g., “because I felt pressure from others who do it”), for enhancement purposes (e.g., “because I like the feeling”), for expansion (e.g., “to expand my awareness”), and for social purposes (e.g., “it’s what I do with friends”). Conformity-motivated use is driven by a desire to reduce social exclusion, enhancement-motivated use is described as being driven by a desire for excitement or joy, expansion-motivated use relates to seeking cognitive or perceptual enhancement of experiences, and social-motivated use seeks to facilitate social cohesion (Simons, Correia, Carey, & Borsari, 1998; Simons, Gaher, Correia, Hansen, & Christopher, 2005). According to the stress-coping model (Wills & Shiffman, 1985), people may also consume substances as a coping response to stress, with the substance being used to engender positive affect and/or decrease an aversive mood.
Enhancement, expansion, and social motives are positively associated with MJ use but less related to negative outcomes like MJ-related problems or psychological distress (Bonn-Miller, Zvolensky, & Bernstein, 2007; Brodbeck, Matter, Page, & Moggi, 2007). However, individuals with MJ use disorders have higher rates of enhancement-motivated MJ use compared to more casual MJ users (Bonn-Miller & Zvolensky, 2009). Although using MJ to conform is associated with social anxiety symptoms (Buckner, Bonn-Miller, Zvolensky, & Schmidt, 2007), it has been found to negatively correlate with recent MJ use (Bonn-Miller, Zvolensky, et al., 2007).
While most emerging adults report using MJ primarily for enhancement or social reasons (Lee, Neighbors, & Woods, 2007), those who endorse greater MJ use to cope with distress may represent a subgroup trying to manage more severe mental health problems, and in doing so may be at risk for MJ-related problems. Emerging adults may be more likely than other adults to use MJ to cope with psychological distress (Buckner, 2013). Using MJ to cope with distress is associated with negative affect, anxious arousal, and depressive symptoms (Beck et al., 2009; Mitchell, Zvolensky, Marshall, Bonn-Miller, & Vujanovic, 2007). Among emerging adults with a history of trauma, coping-motivated use, but not other motives, is associated with posttraumatic stress symptoms (Bonn-Miller, Vujanovic, Feldner, Bernstein, & Zvolensky, 2007). Using MJ to cope with negative emotions is also uniquely associated with emotional dysregulation (Bonn-Miller, Vujanovic, & Zvolensky, 2008) and social anxiety symptoms (Buckner et al., 2007) relative to other motives. While these studies indicate that emerging adults who use MJ to cope experience psychological distress, they are limited by the exclusion of individuals with current Axis I psychopathology (Bonn-Miller, Vujanovic, et al., 2007) and restriction to college students (Buckner et al., 2007). A more representative sample of emerging adults who use MJ to cope with distress is needed to better understand the relationship among these factors.
Coping-motivated MJ use in emerging adults is also associated with more persistent use (Patrick, Schulenberg, O’Malley, Johnston, & Bachman, 2011; Patrick, Schulenberg, O’Malley, Maggs, et al., 2011; Titus, Godley, & White, 2006). Persistent use can lead to MJ-related problems, particularly for individuals who start using earlier in life (Anthony & Petronis, 1995). Among emerging adult MJ users, those who use to cope with distress are at increased risk for MJ-related problems (Buckner, 2013; Lee et al., 2007) and are more likely to meet DSM-IV (APA, 2000) criteria for MJ dependence (Bonn-Miller & Zvolensky, 2009). Yet DSM-IV had inadequate clinical utility in discriminating MJ problem severity among emerging adults (Martin, Chung, Kirisci, & Langenbucher, 2006). To our knowledge, no study has investigated the link between using MJ to cope with distress and cannabis use disorder as defined in the DSM-5 (APA, 2013).
In this study, we examined the association of motivations for using MJ (social, enhancement, and coping) in emerging adults with four measures of MJ-related problem severity and psychological distress: (a) meeting DSM-5 criteria for cannabis use disorder; (b) MJ-related problem severity; (c) depressive symptomatology; and, (d) perceived stress. We hypothesized that coping-motivated use would be more strongly associated with these adverse outcomes than social- or enhancement-motivated use.
METHOD
Participants
Participants were recruited for a large study on health behaviors among emerging adults who use marijuana or alcohol through advertisements online, in local college newspapers, on public transportation, and on commercial radio in Rhode Island. After a telephone screen, eligible individuals were invited for a compensated ($40) in-person interview and free sexually transmitted infection testing. The study was approved by the Butler Hospital Institutional Review Board.
Eligibility criteria included being 18–25 years old, drinking alcohol and/or using MJ in the last month, being sexually active in the last six months, not having suicidal ideation in the past two weeks, and living within 30 minutes of the research site. Of the 1621 individuals screened by phone, 689 were ineligible. The remaining 932 eligible persons were invited for an interview and 533 were either not interested or did not keep a scheduled baseline appointment. Three hundred ninety-nine individuals completed baseline interviews after which 17 persons were found to be ineligible. For the present analysis, we only included data from individuals who reported using MJ in the past 30 days (n=288).
Measures
Frequency of cigarette smoking was assessed using an item from the Fagerstrom Test for Nicotine Dependence (FTND; (Heatherton, Kozlowski, Frecker, & Fagerstrom, 1991)), “How many cigarettes do you smoke per day?”
Marijuana Problem Scale (MPS; (Stephens, Roffman, & Curtin, 2000; Stephens et al., 2004))
The MPS (score range 0–48) is a reliable and valid measure of 19 problems directly related to MJ use, ranging from losing a job to having withdrawal symptoms to having problems in one’s family.
Patient Health Questionnaire-9 (PHQ-9; (Kroenke, Spitzer, & Williams, 2001))
The PHQ-9 (score range 0–27) is a validated and reliable 9-item measure of depressive symptoms.
Perceived Stress Scale-4 (PSS-4; (Cohen, Kamarck, & Mermelstein, 1983))
This 4-item measure (score range 0–16) assesses the degree to which individuals perceive their environment and experiences as stressful.
Reasons for Marijuana Use (RMU; (Cooper, Russell, Skinner, & Windle, 1992))
We adapted the Reasons for Drinking measure developed by Cooper and colleagues for this study to examine MJ use motives. This measure has three subscales: (a) coping (sample item, “Because it helped when you felt depressed or nervous,”); (b) enhancement (“Because it’s exciting”); and, (c) social (“To be sociable”). The Reasons for Marijuana Use subscales had a possible range of 1–4, corresponding to, “Never/Almost Never,” “Sometimes,” “Often,” and, “Almost Always.” In this sample, internal consistency reliabilities were .84, .84, and .73 for the coping, enhancement, and social scales, respectively. Product-moment correlations between the subscales ranged from .45 to .47.
Structured Interview for the DSM-IV – cannabis abuse and dependence modules (SCID; (First, Spitzer, Gibbon, & Williams, 1996))
The SCID is the most widely used, reliable and well-validated, structured clinical assessment tool for DSM-IV diagnostic criteria. To assess the craving criterion under DSM-5 defined cannabis use disorder, we asked all participants, “In the past 3 months, have you often had cravings or strong desires or urges to use marijuana?” Participants endorsing two or more of the abuse or dependence items, including our additional craving question, met criteria for DSM-5 cannabis use disorder. Severity of cannabis use disorder was coded by number of criteria endorsed: No disorder = 0 or 1 symptoms, Mild = 2 or 3 symptoms, Moderate = 4 or 5 symptoms, and Severe = 6+ symptoms (Hasin et al., 2013).
Timeline Follow-back measure (TLFB; (Sobell & Sobell, 1996))
A semi-structured interview that uses a calendar-guided approach (Fals-Stewart, O’Farrell, Freitas, McFarlin, & Rutigliano, 2000), assessed alcohol and MJ use in the past 30 days.
Data Analysis
Descriptive statistics summarize the characteristics of the sample. Our primary focus is on the associations of using MJ for coping, socialization, and enhancement with indicators of MJ use severity and problems. We also examined associations with measures of psychological well-being. Background characteristics included as covariates were age, gender, ethno-racial group, employment status, education, alcohol use frequency (past 30 days), MJ use frequency (past 30 days), and number of cigarettes smoked per day (past 30 days). Associations were estimated in a seemingly unrelated regression framework (Zellner, 1962) using Mplus 5.1 (Muthén & Muthén, 2008). This method assumes error terms are correlated across equations and parameter estimates are more efficient than equation-by-equation estimation. The interpretation of estimated coefficients is identical to single equation regression models. Prior to analysis all continuous variables were standardized to zero-mean and unit variance. For the equations with continuous dependent variables (PHQ-9, PSS, and MPS), the coefficients reported for continuous factors are fully standardized regression coefficients and the coefficients for the categorical factor are y-standardized. Associations with meeting criteria for DSM-5 cannabis use disorder is reported as an odds-ratio. Parameters and inferential statistics were estimated using maximum likelihood with robust standard errors (MLR in Mplus). All above-described covariates and the three motivation-to-use MJ subscales were entered simultaneously in the multivariate models. An indicator variable contrasting non-Latino Whites to all other racial or ethnic identifications was used in analyses.
RESULTS
Of the 288 emerging adults who reported MJ use in the past 30 days, average age was 21.2 (± 2.1) years, 135 (51.7%) were male, and 187 (64.9%) were non-Latino White (Table 1). On average, participants used alcohol and MJ on 26.7% (±18.0) and 52.5% (±38.1) of TLFB days, respectively. Over 2/3 (70.5%) reported no cigarette smoking in the 30-days prior to baseline.
Table 1.
Background Characteristics | Mean (± SD) or n (%) |
---|---|
Age (Years) | 21.2 (± 2.1) |
Gender (Male) | 135 (51.7%) |
Race/Ethnicity | |
White (non-Latino) | 187 (64.9%) |
African American | 37 (12.8%) |
Latino | 36 (12.5%) |
Other Minority | 28 (9.7%) |
Employed (Part- or Full-Time) | 59 (20.5%) |
Enrolled in School | 170 (59.0%) |
% Days Used Alcohol (Past 90 days) | 26.7 (± 18.0) |
Cigarettes/Day | |
None | 203 (70.5%) |
5 or less | 41 (14.2%) |
6–10 | 31 (10.8%) |
11–20 | 11 (3.8%) |
21–30 | 2 (0.7%) |
% Days Used Marijuana (Past 90 days) | 52.5 (± 38.12) |
Reasons to Use Marijuana
|
|
Coping | 2.23 (± 0.75) |
Socialization | 2.41 (± 0.72) |
Enhancement | 3.00 (± 0.71) |
Psychological and Marijuana Correlates
|
|
Patient Health Questionnaire-9 (depression) | 6.58 (± 5.44) |
Perceived Stress Scale | 5.78 (± 2.82) |
MJ Problem Severity Scale | 7.13 (± 6.00) |
Cannabis Use Disorder | 172 (59.7%) |
Cannabis Use Disorder - Mild | 81 (28.1%) |
Cannabis Use Disorder - Moderate | 49 (17.0%) |
Cannabis Use Disorder - Severe | 42 (14.6%) |
After adjusting for other variables in the model, including using MJ for enhancement and social reasons, using MJ to cope with distress was positively and significantly associated with meeting DSM-5 diagnostic criteria for cannabis use disorder (OR = 1.85, 95%CI 1.31; 2.62, p < .01). As a supplementary analysis we estimated a parallel ordinal logit regression model in which cannabis use disorder severity was regressed on the reasons to use indices and all covariates described in Table 2; results were consistent with those reported for the dichotomized outcome. Using MJ to cope was associated positively and significantly with cannabis use disorder severity (OR = 1.59, 95%CI 1.15; 2.19, p < .05). Neither using for social reasons (OR = 1.46, 95%CI 0.98; 2.18, p > .05) nor using for enhancement (OR = 0.94, 95%CI 0.66; 1.34, p > .05) was associated significantly with cannabis use disorder severity. Results were the same when analyzing the unique associations of the three reasons for using MJ and cannabis use disorder based on number of criteria endorsed.
Table 2.
Predictor | CANNABIS DISORDER | MPS | PHQ-9 | PSS |
---|---|---|---|---|
| ||||
ORa (95% CI) | ba (95% CI) | ba (95% CI) | ba (95% CI) | |
Years Age | 0.95 (0.69; 1.31) | −.06 (−.18; .06) | .01 (−.12; .14) | .04 (−.08; .16) |
Male | 0.69 (0.38; 1.26) | −.04 (−.28; .20) | −.51** (−.73; −.29) | −.42** (−.64; −.20) |
Non-Latino White | 0.88 (0.49; 1.58) | .05 (−.20; .30) | .04 (−.27; .19) | .11 (−.13; .35) |
Employed | 0.94 (0.55; 1.62) | −.01 (−.21; .19) | −.20 (−.41; −.01) | −.21 (−.42; −.06) |
In School | 0.79 (0.42; 1.51) | −.13 (−.39; .13) | −.06 (−.31; .19) | −.18 (−.42; .06) |
Alcohol Use Frequency | 1.01 (0.72; 1.41) | .03 (−.09; .15) | −.01 (−.13; .11) | .01 (−.11; .13) |
Cigarettes/Day | 1.06 (0.74; 1.50) | −.00 (−.14; .13) | .11 (−.02; 0.24) | .08 (−.04; .20) |
Marijuana Use Frequency | 2.68** (1.85; 3.87) | .07 (−.08; .22) | −.05 (−.18; .07) | −.08 (−.21; .06) |
Coping | 1.85** (1.31; 2.62) | .41** (.24; .57) | .36** (.23; .49) | .37** (.22; .51) |
Social | 1.27 (0.89; 1.79) | .10 (−.03; .22) | −.08 (−.20; .05) | −.14 (−.29; .01) |
Enhancement | 1.19 (0.84; 1.70) | −.02 (−.13; .09) | −.09 (−.21; .04) | −.05 (−.18; .09) |
Reported coefficients for continuous predictor variables are fully standardized; coefficients for categorical predictors are y-standardized. Parameters and standard errors were estimated by ML with robust standard errors.
p<.01
Using MJ to cope was also significantly associated with MJ problem severity (b = .41, 95% CI .24; .57, p < .01), depressive symptomatology (b = .36, 95% CI .23; .49, p < .01), and with perceived stress (b = .37, 95% CI .22; .51, p < .01), (Table 2). These multivariate models estimated the effects of the other reasons for using MJ subscales, revealing that using MJ to socialize or for enhancement purposes were not uniquely associated significantly with any of the dependent variables (Table 2).
DISCUSSION
This study found that among emerging adults who use MJ, use to cope with distress is positively and significantly associated with having a DSM-5 cannabis use disorder. Using MJ for enhancement or social purposes did not uniquely account for a significant proportion of variance in this outcome. Moreover, coping-motivated use, but not social- or enhancement-motivated use, is associated with MJ-related problems in this group. Using MJ to cope with negative emotions among emerging adults also appears to be uniquely associated with psychiatric symptoms, as measured by severity of depressive symptoms and degree of perceived stress, consistent with prior research (Mitchell et al., 2007). These data are the first to demonstrate the confluence of cannabis use disorder, MJ-related problems, and psychiatric symptoms in the same sample. Additionally, a significant short-coming of previous work was the exclusion of individuals who met DSM diagnostic criteria for Axis I psychopathology (Bonn-Miller, Vujanovic, et al., 2007; Bonn-Miller et al., 2008; Bonn-Miller & Zvolensky, 2009), a meaningful omission given the concern for mental health issues in these individuals.
The acceptability of MJ use is growing in emerging adults (Keyes et al., 2011), a high risk group for substance use disorders (SAMHSA, 2013). Although prior studies have shown an association between coping-motivated MJ use and a variety of negative psychological factors (e.g., (Mitchell et al., 2007)), little research has compared the relationship of coping-motivated use, relative to social- and enhancement-based use, to MJ-related problems and psychological variables. These are also the first results linking using MJ to cope with psychological distress to the newly defined DSM-5 cannabis use disorder. This new diagnostic category represents an important streamlining of the DSM’s cannabis abuse and dependence diagnoses while incorporating a severity dimension. This new approach is particularly relevant to clinicians working with emerging adults, as the DSM-IV classification system poorly quantified severity of use in this age group (Martin et al., 2006).
This study had limitations. First, our primary measure of MJ use motives was adapted from an alcohol scale. Moreover, we did not measure conformity- or expansion-motivated use; these would be important to include in future research. Second, although coping-motivated use was significantly associated with negative psychological variables, our estimated standardized effect sizes suggest that coping-motivated use might not be the only factor associated with these outcomes. Third, the sample was limited to emerging adults who had past month MJ use, were not seeking treatment, and were sexually active. While the sample had the strengths of not excluding those with Axis I psychopathology, being ethnically/racially diverse, nearly half female, and including a substantial number of emerging adults not currently in school (41%), it was not an epidemiological sample. Further, >50% of potential participants declined to participate in the study. Fourth, we did not use a diagnostic measure to assess presence of Major Depressive Disorder. Fifth, MJ-induced anxiety is one of the most commonly reported acute symptoms of MJ use (Crippa et al., 2009). Thus, it is possible that self-reported use of MJ to cope with distress is confounded by MJ-triggered symptoms. Finally, given the cross-sectional nature of the data, we were unable to examine the temporal relationship between coping-motivated use and psychological distress. Still, our findings suggest that assessment of use of MJ to manage psychological distress may be clinically important, and if found, signal the importance of a broad and careful mental health assessment.
These results raise the question about how coping-motivated MJ use might improve or worsen one’s well-being. Although MJ may be perceived as beneficial in ameliorating symptoms of emotional distress, long-term MJ use for these purposes has been associated with deleterious consequences (Patrick, Schulenberg, O’Malley, Johnston, et al., 2011). More longitudinal research will be needed to examine if despite being used with the intention of mitigating distress, coping-motivated use may actually worsen psychological health.
Conclusions
MJ use is becoming more socially acceptable and common in emerging adults. These results help clinicians identify MJ-using individuals who are likely to also have psychological distress symptoms. It appears that there is an important subset of emerging adults who use MJ for coping purposes and these individuals are at risk for a variety of MJ-related problems. Clinicians working with patients who use MJ to cope with negative emotions face the challenge of confronting misconceptions about the perceived benefit of using MJ to “treat” distress. If MJ users continue to be reluctant to engage in drug counseling or to reduce use, despite having substance-related problems, clinicians must become more open to providing treatment such as alternative coping strategies for what these users might be more motivated to change, namely, their symptoms of psychological distress.
Acknowledgments
This study was funded by NIAAA grant #R01 AA020509.
Footnotes
No conflicts of interest to declare.
Trial registered at clinicaltrials.gov: Clinical Trial # NCT01473719.
References
- Anthony JC, Petronis KR. Early-Onset Drug-Use and Risk of Later Drug Problems. Drug Alcohol Depend. 1995;40(1):9–15. doi: 10.1016/0376-8716(95)01194-3. [DOI] [PubMed] [Google Scholar]
- APA. Diagnostic and statistical manual of mental disorders. 4. Washington, DC: Author; 2000. [Google Scholar]
- APA. Diagnostic and statistical manual of mental disorders. 5. Arlington, VA: American Psychiatric Publishing; 2013. [Google Scholar]
- Arnett JJ. Conceptions of the transition to adulthood: Perspectives from adolescence through midlife. Journal of Adult Development. 2001;8(2):133–143. doi: 10.1023/A:1026450103225. [DOI] [Google Scholar]
- Beck KH, Caldeira KM, Vincent KB, O’Grady KE, Wish ED, Arria AM. The social context of cannabis use: Relationship to cannabis use disorders and depressive symptoms among college students. Addictive Behaviors. 2009;34(9):764–768. doi: 10.1016/j.addbeh.2009.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bonn-Miller MO, Vujanovic AA, Feldner MT, Bernstein A, Zvolensky MJ. Posttraumatic stress symptom severity predicts marijuana use coping motives among traumatic event-exposed marijuana users. Journal of Traumatic Stress. 2007;20(4):577–586. doi: 10.1002/Jts.20243. [DOI] [PubMed] [Google Scholar]
- Bonn-Miller MO, Vujanovic AA, Zvolensky MJ. Emotional dysregulation: Association with coping-oriented marijuana use motives among current marijuana users. Substance Use & Misuse. 2008;43(11):1656–1668. doi: 10.1080/10826080802241292. [DOI] [PubMed] [Google Scholar]
- Bonn-Miller MO, Zvolensky MJ. An Evaluation of the Nature of Marijuana Use and Its Motives among Young Adult Active Users. American Journal on Addictions. 2009;18(5):409–416. doi: 10.1080/10550490903077705. [DOI] [PubMed] [Google Scholar]
- Bonn-Miller MO, Zvolensky MJ, Bernstein A. Marijuana use motives: Concurrent relations to frequency of past 30-day use and anxiety sensitivity among young adult marijuana smokers. Addictive Behaviors. 2007;32(1):49–62. doi: 10.1016/j.addbeh.2006.03.018. [DOI] [PubMed] [Google Scholar]
- Brodbeck J, Matter M, Page J, Moggi F. Motives for cannabis use as a moderator variable of distress among young adults. Addictive Behaviors. 2007;32(8):1537–1545. doi: 10.1016/j.addbeh.2006.11.012. [DOI] [PubMed] [Google Scholar]
- Buckner JD. College Cannabis Use: The Unique Roles of Social Norms, Motives, and Expectancies. Journal of Studies on Alcohol and Drugs. 2013;74(5):720–726. doi: 10.15288/jsad.2013.74.720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buckner JD, Bonn-Miller MO, Zvolensky MJ, Schmidt NB. Marijuana use motives and social anxiety among marijuana-using young adults. Addictive Behaviors. 2007;32(10):2238–2252. doi: 10.1016/j.addbeh.2007.04.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caldeira KM, Arria AM, O’Grady KE, Vincent KB, Wish ED. The occurrence of cannabis use disorders and other cannabis-related problems among first-year college students. Addictive Behaviors. 2008;33(3):397–411. doi: 10.1016/j.addbeh.2007.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Caldeira KM, Kasperski SJ, Sharma E, Vincent KB, O’Grady KE, Wish ED, Arria AM. College students rarely seek help despite serious substance use problems. Journal of Substance Abuse Treatment. 2009;37(4):368–378. doi: 10.1016/j.jsat.2009.04.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385–396. [PubMed] [Google Scholar]
- Cooper ML. Motivations for alcohol use among adolescents: Development and validation of a four-factor model. Psychological Assessment. 1994;6:117–128. [Google Scholar]
- Cooper ML, Russell M, Skinner J, Windle M. Development and validation of a three-dimensional measure of drinking motives. Psychological Assessment. 1992;4(2):123–132. [Google Scholar]
- Crippa JA, Zuardi AW, Martin-Santos R, Bhattacharyya S, Atakan Z, McGuire P, Fusar-Poli P. Cannabis and anxiety: a critical review of the evidence. Human Psychopharmacology-Clinical and Experimental. 2009;24(7):515–523. doi: 10.1002/Hup.1048. [DOI] [PubMed] [Google Scholar]
- Fals-Stewart W, O’Farrell TJ, Freitas TT, McFarlin SK, Rutigliano P. The timeline followback reports of psychoactive substance use by drug-abusing patients: psychometric properties. J Consult Clin Psychol. 2000;68(1):134–144. doi: 10.1037//0022-006x.68.1.134. [DOI] [PubMed] [Google Scholar]
- First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-IV) Washington, D.C: American Psychiatric Press, Inc; 1996. [Google Scholar]
- Hasin DS, O’Brien CP, Auriacombe M, Borges G, Bucholz K, Budney A, Petry NM. DSM-5 Criteria for Substance Use Disorders: Recommendations and Rationale. American Journal of Psychiatry. 2013;170(8):834–851. doi: 10.1176/appi.ajp.2013.12060782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom KO. The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict. 1991;86(9):1119–1127. doi: 10.1111/j.1360-0443.1991.tb01879.x. [DOI] [PubMed] [Google Scholar]
- Keyes KM, Schulenberg JE, O’Malley PM, Johnston LD, Bachman JG, Li GH, Hasin D. The social norms of birth cohorts and adolescent marijuana use in the United States, 1976–2007. Addiction. 2011;106(10):1790–1800. doi: 10.1111/j.1360-0443.2011.03485.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kroenke K, Spitzer R, Williams J. The PHQ-9. Journal of General Internal Medicine. 2001;16(9):606–613. doi: 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee CM, Neighbors C, Woods BA. Marijuana motives: Young adults’ reasons for using marijuana. Addictive Behaviors. 2007;32(7):1384–1394. doi: 10.1016/j.addbeh.2006.09.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin CS, Chung T, Kirisci L, Langenbucher JW. Item response theory analysis of diagnostic criteria for alcohol and cannabis use disorders in adolescents: Implications for DSM-V. Journal of Abnormal Psychology. 2006;115(4):807–814. doi: 10.1037/0021-843x.115.4.807. [DOI] [PubMed] [Google Scholar]
- Mitchell H, Zvolensky MJ, Marshall EC, Bonn-Miller MO, Vujanovic AA. Incremental validity of coping-oriented marijuana use motives in the prediction of affect-based psychological vulnerability. Journal of Psychopathology and Behavioral Assessment. 2007;29(4):277–288. doi: 10.1007/s10862-007-9047-z. [DOI] [Google Scholar]
- Muthén LK, Muthén BO. Mplus User’s Guide. 5. Los Angeles, CA: Muthen & Muthen; 2008. [Google Scholar]
- Patrick ME, Schulenberg JE, O’Malley PM, Johnston LD, Bachman JG. Adolescents’ Reported Reasons for Alcohol and Marijuana Use as Predictors of Substance Use and Problems in Adulthood. Journal of Studies on Alcohol and Drugs. 2011;72(1):106–116. doi: 10.15288/jsad.2011.72.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Patrick ME, Schulenberg JE, O’Malley PM, Maggs JL, Kloska DD, Johnston LD, Bachman JG. Age-Related Changes in Reasons for Using Alcohol and Marijuana From Ages 18 to 30 in a National Sample. Psychology of Addictive Behaviors. 2011;25(2):330–339. doi: 10.1037/A0022445. [DOI] [PMC free article] [PubMed] [Google Scholar]
- SAMHSA. Results from the 2012 National Survey on Drug Use and Health: Summary of National Findings. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2013. Retrieved from http://www.samhsa.gov/data/NSDUH/2012SummNatFindDetTables/ [Google Scholar]
- Simons JS, Correia CJ, Carey KB, Borsari BE. Validating a five-factor marijuana motives measure: Relations with use, problems, and alcohol motives. Journal of Counseling Psychology. 1998;45(3):265–273. doi: 10.1037/0022-0167.45.3.265. [DOI] [Google Scholar]
- Simons JS, Gaher RM, Correia CJ, Hansen CL, Christopher MS. An affective-motivational model of marijuana and alcohol problems among college students. Psychology of Addictive Behaviors. 2005;19(3):326–334. doi: 10.1037/0893-164x.19.3.326. [DOI] [PubMed] [Google Scholar]
- Sobell LC, Sobell MB. Timeline Followback user’s guide: A calendar method for assessing alcohol and drug use. Toronto, Ontario, Canada: Addiction Research Foundation; 1996. [Google Scholar]
- Stephens RS, Roffman RA, Curtin L. Comparison of extended versus brief treatments for marijuana use. Journal of Consulting and Clinical Psychology. 2000;68(5):898–908. doi: 10.1037//0022-006x.68.5.898. [DOI] [PubMed] [Google Scholar]
- Stephens RS, Roffman RA, Fearer SA, Williams C, Picciano JF, Burke RS. The Marijuana Check-up: reaching users who are ambivalent about change. Addiction. 2004;99(10):1323–1332. doi: 10.1111/j.1360.0443.2004.00832.x. [DOI] [PubMed] [Google Scholar]
- Titus JC, Godley SH, White MK. A post-treatment examination of adolescents’ reasons for starting, quitting, and continuing the use of drugs and alcohol. Journal of Child & Adolescent Substance Abuse. 2006;16(2):31–49. doi: 10.1300/J029v16n02_02. [DOI] [Google Scholar]
- Wills TA, Shiffman S. Coping and substance use: A conceptual framework. In: Wills TA, Shiffman S, editors. Coping and substance use. Orlando, FL: Academic Publishing, Inc; 1985. pp. 3–24. [Google Scholar]
- Zellner A. An efficient method of estimating seemingly unrelated regression equations and tests for aggregation bias. Journal of the American Statistical Association. 1962;57:348–368. [Google Scholar]