Development of the Enthusiastic Substance Use Attitudes Scale: Preliminary Evidence of a Novel Maintenance Factor

References

• Abate, S. M., Chekol, Y. A., & Minaye, S. Y. (2021). Prevalence and risk factors of psychoactive substance abuse among students in Ethiopia: A systematic review and meta-analysis. Annals of Medicine and Surgery (2012), 70, 102790. https://doi.org/10.1016/j.amsu.2021.102790
   PubMed Web of Science ®Google Scholar
• American Psychiatric Association. (2022). Substance-related and addictive disorders. In Diagnostic and statistical manual of mental disorders (5th ed., text rev.), American Psychiatric Association. https://doi.org/10.1176/appi.books.9781585624836.jb16
   Google Scholar
• Averill, L. A., Averill, C. L., & Abdallah, C. G. (2020). Neurobiological mechanisms of ketamine: Depression, suicide, trauma, and chronic stress pathologies. Psychiatric Annals, 50(2), 48–53. https://doi.org/10.3928/00485713-20200109-02
   Web of Science ®Google Scholar
• Ayu, A. P., van der Ven, M., Suryani, E., Puspadewi, N., Joewana, S., Rukmini, E., de Jong, C., & Schellekens, A. (2022). Improving medical students’ attitude toward patients with substance use problems through addiction medicine education. Substance Abuse, 43(1), 47–55. https://doi.org/10.1080/08897077.2020.1732512
   PubMed Web of Science ®Google Scholar
• Barkin, S. L., Smith, K. S., & DuRant, R. H. (2002). Social skills and attitudes associated with substance use behaviors among young adolescents. Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine, 30(6), 448–454. https://doi.org/10.1016/S1054-139X(01)00405-0
   PubMed Web of Science ®Google Scholar
• Berman, A. H., Bergman, H., Palmstierna, T., & Schlyter, F. (2002). Drug Use Disorders Identification Test (DUDIT). [Database record]. APA PsycTests. https://doi.org/10.1037/t02890-000
   Google Scholar
• Berman, A. H., Palmstierna, T., Källmén, H., & Bergman, H. (2007). The self-report Drug Use Disorders Identification Test–Extended (DUDIT-E): Reliability, validity, and motivational index. Journal of Substance Abuse Treatment, 32(4), 357–369. https://doi.org/10.1016/j.jsat.2006.10.001
   PubMed Web of Science ®Google Scholar
• Biolcati, R., & Passini, S. (2019). Development of the substance use motives measure (SUMM): A comprehensive eight-factor model for alcohol/drugs consumption. Addictive Behaviors Reports, 10, 100199. https://doi.org/10.1016/j.abrep.2019.100199
   PubMedGoogle Scholar
• Bird, C. I. V., Modlin, N. L., & Rucker, J. J. H. (2021). Psilocybin and MDMA for the treatment of trauma-related psychopathology. International Review of Psychiatry (Abingdon, England), 33(3), 229–249. https://doi.org/10.1080/09540261.2021.1919062
   PubMed Web of Science ®Google Scholar
• Chaplin, T. M., Niehaus, C., & Gonçalves, S. F. (2018). Stress reactivity and the developmental psychopathology of adolescent substance use. Neurobiology of Stress, 9, 133–139. https://doi.org/10.1016/j.ynstr.2018.09.002
   PubMed Web of Science ®Google Scholar
• Chappel, J. N., Veach, T. L., & Krug, R. S. (1985). The substance abuse attitude survey: An instrument for measuring attitudes. Journal of Studies on Alcohol, 46(1), 48–52. https://doi.org/10.15288/jsa.1985.46.48
   PubMed Web of Science ®Google Scholar
• Charles, N. E., Ryan, S. R., Acheson, A., Mathias, C. W., Liang, Y., & Dougherty, D. M. (2015). Childhood stress exposure among preadolescents with and without family histories of substance use disorders. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors, 29(1), 192–200. https://doi.org/10.1037/adb0000020
   PubMed Web of Science ®Google Scholar
• Charlet, K., & Heinz, A. (2017). Harm reduction—A systematic review on effects of alcohol reduction on physical and mental symptoms. Addiction Biology, 22(5), 1119–1159. https://doi.org/10.1111/adb.12414
   PubMed Web of Science ®Google Scholar
• Cicchetti, D., & Handley, E. D. (2019). Child maltreatment and the development of substance use and disorder. Neurobiology of Stress, 10, 100144. https://doi.org/10.1016/j.ynstr.2018.100144
   PubMed Web of Science ®Google Scholar
• Cragg, A., Hau, J. P., Woo, S. A., Kitchen, S. A., Liu, C., Doyle-Waters, M. M., & Hohl, C. M. (2019). Risk factors for misuse of prescribed opioids: A systematic review and meta-analysis. Annals of Emergency Medicine, 74(5), 634–646. https://doi.org/10.1016/j.annemergmed.2019.04.019
   PubMed Web of Science ®Google Scholar
• Crapanzano, K. A., Hammarlund, R., Ahmad, B., Hunsinger, N., & Kullar, R. (2019). The association between perceived stigma and substance use disorder treatment outcomes: A review. Substance Abuse and Rehabilitation, 10, 1–12. https://doi.org/10.2147/SAR.S183252
   PubMed Web of Science ®Google Scholar
• Deak, J. D., & Johnson, E. C. (2021). Genetics of substance use disorders: A review. Psychological Medicine, 51(13), 2189–2200. https://doi.org/10.1017/S0033291721000969
   PubMed Web of Science ®Google Scholar
• Diener, E., Sandvik, E., Seidlitz, L., & Diener, M. (1993). The relationship between income subjective well-being: Relative or absolute? Social Indicators Research, 28(3), 195–223. https://doi.org/10.1007/BF01079018
   Web of Science ®Google Scholar
• DiStefano, C., & Morgan, G. B. (2014). A comparison of diagonal weighted least squares robust estimation techniques for ordinal data. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 425–438. https://doi.org/10.1080/10705511.2014.915373
   Web of Science ®Google Scholar
• Dschaak, Z. A., & Juntunen, C. L. (2018). Stigma, substance use, and help-seeking attitudes among rural and urban individuals. Journal of Rural Mental Health, 42(3-4), 184–195. https://doi.org/10.1037/rmh0000097
   Google Scholar
• Eisinga, R., Grotenhuis, M., & Pelzer, B. (2013). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health, 58(4), 637–642. https://doi.org/10.1007/s00038-012-0416-3
   PubMed Web of Science ®Google Scholar
• Felner, J. K., Wisdom, J. P., Williams, T., Katuska, L., Haley, S. J., Jun, H. J., & Corliss, H. L. (2020). Stress, coping, and context: Examining substance use among LGBTQ young adults with probable substance use disorders. Psychiatric Services (Washington, D.C.), 71(2), 112–120. https://doi.org/10.1176/appi.ps.201900029
   PubMed Web of Science ®Google Scholar
• Fleury, M. J., Djouini, A., Huỳnh, C., Tremblay, J., Ferland, F., Ménard, J. M., & Belleville, G. (2016). Remission from substance use disorders: A systematic review and meta-analysis. Drug and Alcohol Dependence, 168, 293–306. https://doi.org/10.1016/j.drugalcdep.2016.08.625
   PubMed Web of Science ®Google Scholar
• Florence, C., Luo, F., & Rice, K. (2021). The economic burden of opioid use disorder and fatal opioid overdose in the United States, 2017. Drug and Alcohol Dependence, 218, 108350. https://doi.org/10.1016/j.drugalcdep.2020.108350
   PubMed Web of Science ®Google Scholar
• Gao, F. (2020). Multidimensional effects of exercise intervention on mental health of college students. Revista Argentina de Clínica Psicológica, 29(2), 1109–1116. https://doi.org/10.24205/03276716.2020.352
   Google Scholar
• Gibbs, A., Jewkes, R., Willan, S., & Washington, L. (2018). Associations between poverty, mental health and substance use, gender power, and intimate partner violence amongst young (18-30) women and men in urban informal settlements in South Africa: A cross-sectional study and structural equation model. PLoS One, 13(10), e0204956. https://doi.org/10.1371/journal.pone.0204956
   PubMed Web of Science ®Google Scholar
• Goodstadt, M. S., Cook, G., Magid, S., & Gruson, V. (1978). The Drug Attitudes Scale (DAS): Its development and evaluation. International Journal of the Addictions, 13(8), 1307–1317. https://doi.org/10.3109/10826087809039344
   PubMed Web of Science ®Google Scholar
• Gratz, K. L., & Roemer, L. (2004). Multidimensional assessment of emotion regulation and dysregulation: Development, factor structure, and initial validation of the difficulties in emotion regulation scale. Journal of Psychopathology and Behavioral Assessment, 26(1), 41–54. https://doi.org/10.1023/B:JOBA.0000007455.08539.94
   Web of Science ®Google Scholar
• Groenman, A. P., Janssen, T. W., & Oosterlaan, J. (2017). Childhood psychiatric disorders as risk factor for subsequent substance abuse: A meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry, 56(7), 556–569. https://doi.org/10.1016/j.jaac.2017.05.004
   PubMed Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Pearson Education.
   Google Scholar
• Han, B., Hedden, S. L., Lipari, R., Copello, E. A., & Kroutil, L. A. (2015). Receipt of services for behavioral health problems: Results from the 2014 National Survey on Drug Use and Health. Rockville, MD: Substance Abuse and Mental Health Services Administration. www.samhsa.gov/data/sites/default/files/NSDUH-DR-FRR3-2014/NSDUH-DR-FRR3-2014/NSDUH-DR-FRR3-2014.pdf
   Google Scholar
• Harris, M. G., Bharat, C., Glantz, M. D., Sampson, N. A., Al-Hamzawi, A., Alonso, J., Bruffaerts, R., Caldas de Almeida, J. M., Cia, A. H., de Girolamo, G., Florescu, S., Gureje, O., Haro, J. M., Hinkov, H., Karam, E. G., Karam, G., Lee, S., Lépine, J.-P., Levinson, D., … Degenhardt, L, World Health Organization’s World Mental Health Surveys Collaborators. (2019). Cross-national patterns of substance use disorder treatment and associations with mental disorder comorbidity in the who world mental health surveys. Addiction (Abingdon, England), 114(8), 1446–1459. https://doi.org/10.1111/add.14599
   PubMed Web of Science ®Google Scholar
• Henderson, N. L., & Dressler, W. W. (2020). Cultural models of substance use risk and attributed stigma: A comparison of young adults in Brazil and the United States. Cross-Cultural Research, 54(2–3), 209–237. https://doi.org/10.1177/106939711986877
   Web of Science ®Google Scholar
• Henkel, D. (2011). Unemployment and substance use: A review of the literature (1990–2010). Current Drug Abuse Reviews, 4(1), 4–27. https://doi.org/10.2174/1874473711104010004
   PubMedGoogle Scholar
• Hides, L., Lubman, D. I., Cosgrave, E. M., Buckby, J. A., Killackey, E., & Yung, A. R. (2008). Motives for substance use among young people seeking mental health treatment. Early Intervention in Psychiatry, 2(3), 188–194. https://doi.org/10.1111/j.1751-7893.2008.00076.x
   PubMed Web of Science ®Google Scholar
• Hildebrand, M. (2015). The psychometric properties of the Drug Use Disorders Identification Test (DUDIT): A review of recent research. Journal of Substance Abuse Treatment, 53, 52–59. https://doi.org/10.1016/j.jsat.2015.01.008
   PubMed Web of Science ®Google Scholar
• Hoffmann, J. P., & Cerbone, F. G. (2002). Parental substance use disorder and the risk of adolescent drug abuse: An event history analysis. Drug and Alcohol Dependence, 66(3), 255–264. https://doi.org/10.1016/S0376-8716(02)00005-4
   PubMed Web of Science ®Google Scholar
• IBM Corp. (2022). IBM SP SS statistics for Mac.
   Google Scholar
• Iqbal, M. N., Levin, C. J., & Levin, F. R. (2019). Treatment for substance use disorder with co-occurring mental illness. Focus (American Psychiatric Publishing), 17(2), 88–97. https://doi.org/10.1176/appi.focus.20180042
   PubMedGoogle Scholar
• Jalleh, G., Donovan, R. J., & Jobling, I. (2014). Predicting attitude towards performance enhancing substance use: A comprehensive test of the Sport Drug Control Model with elite Australian athletes. Journal of Science and Medicine in Sport, 17(6), 574–579. https://doi.org/10.1016/j.jsams.2013.10.249
   PubMed Web of Science ®Google Scholar
• John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102–138). Guilford Press.
   Google Scholar
• John, O. P., Donahue, E. M., & Kentle, R. L. (1991). The Big Five Inventory–Versions 4a and 54. University of California, Berkeley, Institute of Personality and Social Research.
   Google Scholar
• Jorgensen, T. D., Pornprasertmanit, S., Schoemann, A. M., & Rosseel, Y. (2022). semTools: Useful tools for structural equation modeling. R package version 0.5-6. Comprehensive R Archive Network (CRAN). https://CRAN.R-project.org/package=semTools
   Google Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
   Google Scholar
• Korkmaz, S., Goksuluk, D., & Zararsiz, G. (2014). MVN: An R package for assessing multivariate normality. R Journal, 6(2), 151–162. https://doi.org/10.32614/RJ-2014-031
   Web of Science ®Google Scholar
• Leventhal, A. M., & Schmitz, J. M. (2006). The role of drug use outcome expectancies in substance abuse risk: An interactional–transformational model. Addictive Behaviors, 31(11), 2038–2062. https://doi.org/10.1016/j.addbeh.2006.02.004
   PubMed Web of Science ®Google Scholar
• Lishinski, A. (2021). lavaanPlot: Path Diagrams for ‘Lavaan’ Models via ‘DiagrammeR’. Comprehensive R Archive Network (CRAN). https://cran.r-project.org/web/packages/lavaanPlot/index.html
   Google Scholar
• Lovakov, A., & Agadullina, E. R. (2021). Empirically derived guidelines for effect size interpretation in social psychology. European Journal of Social Psychology, 51(3), 485–504. https://doi.org/10.1002/ejsp.2752
   Web of Science ®Google Scholar
• Lund, C., Docrat, S., Abdulmalik, J., Alem, A., Fekadu, A., Gureje, O., Gurung, D., Hailemariam, D., Hailemichael, Y., Hanlon, C., Jordans, M. J. D., Kizza, D., Nanda, S., Olayiwola, S., Shidhaye, R., Upadhaya, N., Thornicroft, G., & Chisholm, D. (2019). Household economic costs associated with mental, neurological and substance use disorders: A cross-sectional survey in six low- and middle-income countries. BJPsych Open, 5(3), e34. https://doi.org/10.1192/bjo.2019.20
   PubMed Web of Science ®Google Scholar
• Maclean, J. C., & Saloner, B. (2019). The effect of public insurance expansions on substance use disorder treatment: Evidence from the Affordable Care Act. Journal of Policy Analysis and Management, 38(2), 366–393. https://doi.org/10.1002/pam.22112
   PubMed Web of Science ®Google Scholar
• Maher, B. (2022). Linkage and association studies of substance use disorders. In Vanyukov, M.M. (Ed.), Genetics of substance use. Springer. https://doi.org/10.1007/978-3-030-95350-8
   Google Scholar
• Mahfouz, A. Y., Joonas, K., & Opara, E. U. (2020). An overview of and factor analytic approach to flow theory in online contexts. Technology in Society, 61, 101228. https://doi.org/10.1016/j.techsoc.2020.101228
   Web of Science ®Google Scholar
• Mindrila, D. (2010). Maximum likelihood (ML) and diagonally weighted least squares (DWLS) estimation procedures: A comparison of estimation bias with ordinal and multivariate non-normal data. International Journal of Digital Society, 1(1), 60–66.
   Google Scholar
• Moodley-Kunnie, T. (1988). Attitudes and perceptions of health professionals toward substance use disorders and substance-dependent individuals. International Journal of the Addictions, 23(5), 469–475. https://doi.org/10.3109/10826088809039212
   PubMed Web of Science ®Google Scholar
• Moshagen, M., & Erdfelder, E. (2016). A new strategy for testing structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 23(1), 54–60. https://doi.org/10.1080/10705511.2014.950896
   Web of Science ®Google Scholar
• Mukaka, M. J. (2012). Statistics corner: A guide to appropriate use of correlation in medical research. Malawi Medical Journal, 24(3), 69–71. P MCID: P MC3576830
   PubMed Web of Science ®Google Scholar
• Nieweglowski, K., Dubke, R., Mulfinger, N., Sheehan, L., & Corrigan, P. W. (2019). Under-standing the factor structure of the public stigma of substance use disorder. Addiction Research & Theory, 27(2), 156–161. https://doi.org/10.1080/16066359.2018.1474205
   Web of Science ®Google Scholar
• Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic analysis: Striving to meet the trustworthiness criteria. International Journal of Qualitative Methods, 16(1), 160940691773384. https://doi.org/10.1177/1609406917733847
   Web of Science ®Google Scholar
• Ólafsdóttir, J., Hrafnsdóttir, S., & Orjasniemi, T. (2018). Depression, anxiety, and stress from substance-use disorder among family members in Iceland. Nordisk Alkohol- & Narkotikatidskrift: NAT, 35(3), 165–178. https://doi.org/10.1177/145507251876612
   PubMedGoogle Scholar
• Orr, J. M., Sackett, P. R., & Dubois, C. L. (1991). Outlier detection and treatment in I/O psychology: A survey of researcher beliefs and an empirical illustration. Personnel Psychology, 44(3), 473–486. https://doi.org/10.1111/j.1744-6570.1991.tb02401.x
   Web of Science ®Google Scholar
• Parisi, A., Sharma, A., Howard, M. O., & Wilson, A. B. (2019). The relationship between substance misuse and complicated grief: A systematic review. Journal of Substance Abuse Treatment, 103, 43–57. https://doi.org/10.1016/j.jsat.2019.05.012
   PubMed Web of Science ®Google Scholar
• Pavot, W. G., Diener, E., Colvin, C. R., & Sandvik, E. (1991). Further validation of the Satisfaction with Life Scale: Evidence for the cross-method convergence of well-being measures. Journal of Personality Assessment, 57(1), 149–161. https://doi.org/10.1207/s15327752jpa5701_17
   PubMed Web of Science ®Google Scholar
• Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
   PubMed Web of Science ®Google Scholar
• Qualtrics. (2022). Qualtrics survey software. https://www.qualtrics.com/
   Google Scholar
• R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
   Google Scholar
• Ramey, T., & Regier, P. S. (2019). Cognitive impairment in substance use disorders. CNS Spectrums, 24(1), 102–113. https://doi.org/10.1017/S1092852918001426
   PubMed Web of Science ®Google Scholar
• Rammstedt, B., & John, O. P. (2007). Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. Journal of Research in Personality, 41(1), 203–212. https://doi.org/10.1016/j.jrp.2006.02.001
   Web of Science ®Google Scholar
• Reed, M. D., & Rountree, P. W. (1997). Peer pressure and adolescent substance use. Journal of Quantitative Criminology, 13(2), 143–180. https://doi.org/10.1007/BF02221306
   Web of Science ®Google Scholar
• Renshaw, T. L., & Hindman, M. L. (2017). Expressing gratitude via instant communication technology: A randomized controlled trial targeting college students’ mental health. Mental Health and Prevention, 7, 37–44. https://doi.org/10.1016/j.mhp.2017.08.001
   Google Scholar
• Rogers, S. M., Pinedo, M., Villatoro, A. P., & Zemore, S. E. (2019). “I don’t feel like I have a problem because I can still go to work and function”: Problem recognition among persons with substance use disorders. Substance Use & Misuse, 54(13), 2108–2116. https://posit.cloud/content/6100101. https://doi.org/10.1080/10826084.2019.1630441
   PubMed Web of Science ®Google Scholar
• Rolffs, J. L., Rogge, R. D., & Wilson, K. G. (2018). Disentangling components of flexibility via the hexaflex model: Development and validation of the Multidimensional Psychological Flexibility Inventory (MPFI). Assessment, 25(4), 458–482. https://doi.org/10.1177/1073191116645905
   PubMed Web of Science ®Google Scholar
• Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02
   Web of Science ®Google Scholar
• Schönbrodt, F. D., & Perugini, M. (2013). At what sample size do correlations stabilize? Journal of Research in Personality, 47(5), 609–612. https://doi.org/10.1016/j.jrp.2013.05.009
   Web of Science ®Google Scholar
• Schuckit, M. A. (2009). An overview of genetic influences in alcoholism. Journal of Substance Abuse Treatment, 36(1), S1–S14. https://doi.org/10.1016/j.jsat.2008.10.010
   PubMed Web of Science ®Google Scholar
• Sherman, B. J., Sofis, M. J., Borodovsky, J. T., Gray, K. M., McRae-Clark, A. L., & Budney, A. J. (2022). Evaluating cannabis use risk reduction as an alternative clinical outcome for cannabis use disorder. Psychology of Addictive Behaviors: Journal of the Society of Psychologists in Addictive Behaviors, 36(5), 505–514. https://doi.org/10.1037/adb0000760
   PubMed Web of Science ®Google Scholar
• Simpson, T. L., & Miller, W. R. (2002). Concomitance between childhood sexual and physical abuse and substance use problems: A review. Clinical Psychology Review, 22(1), 27–77. https://doi.org/10.1016/s0272-7358(00)00088-x
   PubMed Web of Science ®Google Scholar
• Skinner, H. A. (1982). The drug abuse screening test. Addictive Behaviors, 7(4), 363–371. https://doi.org/10.1016/0306-4603(82)90005-3
   PubMed Web of Science ®Google Scholar
• Stockings, E., Hall, W. D., Lynskey, M., Morley, K. I., Reavley, N., Strang, J., Patton, G., & Degenhardt, L. (2016). Substance use in young people 3: Prevention, early intervention, harm reduction, and treatment of substance use in young people. Lancet. Psychiatry, 3(3), 280–296. https://doi.org/10.1016/S2215-0366(16)00002-X
   PubMed Web of Science ®Google Scholar
• Stone, B. M. (2022a). Positive psychology for substance use disorders: A rationale & call to action. Journal of Studies on Alcohol and Drugs, 83(6), 959–961. https://doi.org/10.15288/jsad.22-00259
   PubMed Web of Science ®Google Scholar
• Stone, B. M. (2022b). The war on drugs has unduly biased substance use research. Psychological Reports, 332941221146701. https://doi.org/10.1177/00332941221146701
   PubMed Web of Science ®Google Scholar
• Stone, B. M., Bartholomay, E. M., & Chamberlain, A. B. (2022). Validation of the BFI-10-R: A BFI scale with strong structural and construct validity. Journal of Psychopathology & Behavioral Assessment, 44, 1–13. https://doi.org/10.1007/s10862-022-09978-4
   Web of Science ®Google Scholar
• Studer, J., Baggio, S., Deline, S., N’Goran, A. A., Henchoz, Y., Mohler-Kuo, M., Daeppen, J.-B., & Gmel, G. (2014). Peer pressure and alcohol use in young men: A mediation analysis of drinking motives. International Journal on Drug Policy, 25(4), 700–708. https://doi.org/10.1016/j.drugpo.2014.02.002
   PubMed Web of Science ®Google Scholar
• Substance Abuse and Mental Health Services Administration. (2020). Key substance use and mental health indicators in the United States: Results from the 2019 National Survey on Drug Use and Health (HHS Publication No. PEP20-07-01-001, NSDUH Series H-55). Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration. https://www.samhsa.gov/data/
   Google Scholar
• Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
   Web of Science ®Google Scholar
• The Paley Center in New York. (2022). Partnership for a drug-free America: Any questions? {Advertising council exhibition: Anti-drug}. https://www.paleycenter.org/collection/item/?item=AT%3A23829.016
   Google Scholar
• Thompson, R. G., Wall, M. M., Greenstein, E., Grant, B. F., & Hasin, D. S. (2013). Substance-use disorders and poverty as prospective predictors of first-time homelessness in the United States. American Journal of Public Health, 103 Suppl 2(Suppl 2), S282–S288. https://doi.org/10.2105/AJPH.2013.301302
   PubMedGoogle Scholar
• Tiffany, S. T., Friedman, L., Greenfield, S. F., Hasin, D. S., & Jackson, R. (2012). Beyond drug use: A systematic consideration of other outcomes in evaluations of treatments for substance use disorders. Addiction (Abingdon, England), 107(4), 709–718. https://doi.org/10.1111/j.1360-0443.2011.03581.x
   PubMed Web of Science ®Google Scholar
• Tyo, M. B., & McCurry, M. K. (2020). An integrative review of measuring caregiver burden in substance use disorder. Nursing Research, 69(5), 391–398. https://doi.org/10.1097/NNR.0000000000000442
   PubMed Web of Science ®Google Scholar
• Ursprung, W. W. S., Savageau, J. A., & DiFranza, J. R. (2011). What is the significance of experiencing relaxation in response to the first use of nicotine? Addiction Research & Theory, 19(1), 14–21. https://doi.org/10.3109/16066359.2010.507892
   Web of Science ®Google Scholar
• Van Boekel, L. C., Brouwers, E. P., Van Weeghel, J., & Garretsen, H. F. (2013). Stigma among health professionals towards patients with substance use disorders and its consequences for healthcare delivery: Systematic review. Drug and Alcohol Dependence, 131(1–2), 23–35. https://doi.org/10.1016/j.drugalcdep.2013.02.018
   PubMed Web of Science ®Google Scholar
• Votaw, V. R., & Witkiewitz, K. (2021). Motives for substance use in daily life: A systematic review of studies using ecological momentary assessment. Clinical Psychological Science: A Journal of the Association for Psychological Science, 9(4), 535–562. https://doi.org/10.1177/2167702620978614
   PubMed Web of Science ®Google Scholar
• Voon, P., Callon, C., Nguyen, P., Dobrer, S., Montaner, J., Wood, E., & Kerr, T. (2014). Self-management of pain among people who inject drugs in Vancouver. Pain Management, 4(1), 27–35. https://doi.org/10.2217/pmt.13.62
   PubMedGoogle Scholar
• West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables: Problems and remedies. In RH Hoyle (Ed.). Structural equation modeling: Concepts, Issues, and Applications (pp. 56–75), Sage Publications, Inc.
   Google Scholar
• Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., Burstein, R., Murray, C. J., & Vos, T. (2013). Global burden of disease attributable to mental and substance use disorders: Findings from the Global Burden of Disease Study 2010. Lancet (London, England), 382(9904), 1575–1586. https://doi.org/10.1016/s0140-6736(13)61611-6
   PubMed Web of Science ®Google Scholar
• Whiteford, H., Ferrari, A., & Degenhardt, L. (2016). Global burden of disease studies: implications for mental and substance use disorders. Health Affairs (Project Hope), 35(6), 1114–1120. https://doi.org/10.1377/hlthaff.2016.0082
   PubMed Web of Science ®Google Scholar
• Wickham, H., Hester, J., Chang, W., & Bryan, J. (2022). devtools: Tools to make developing R packages easier. Comprehensive R Archive Network (CRAN). https://devtools.r-lib.org/
   Google Scholar
• Wilkens, C., & Foote, J. (2019). Bad parents, “codependents,” and other stigmatizing myths about substance use disorder in the family. In J. Avery & J. Avery (Eds.), The stigma of addiction: An essential guide (pp. 33–53). Springer International Publishing.
   Google Scholar
• World Health Organization. World Health. (1996). WHOQOL-Bref: Introduction, administration, scoring and generic version of the assessment: Field trial version, December 1996. Organization. https://apps.who.int/iris/handle/10665/63529
   Google Scholar
• Yang, L. H., Wong, L. Y., Grivel, M. M., & Hasin, D. S. (2017). Stigma and substance use disorders: An international phenomenon. Current Opinion in Psychiatry, 30(5), 378–388. https://doi.org/10.1097/YCO.0000000000000351
   PubMed Web of Science ®Google Scholar
• Zhang, Z., He, Z., & Chen, W. (2022). The relationship between physical activity intensity and subjective well-being in college students. Journal of American College Health, 70(4), 1241–1246. https://doi.org/10.1080/07448481.2020.1790575
   PubMed Web of Science ®Google Scholar