Show simple item record

dc.creatorWallis, Dorothy
dc.creatorCoatsworth, J. Douglas
dc.creatorMennis, Jeremy
dc.creatorRiggs, Nathaniel R.
dc.creatorZaharakis, Nikola
dc.creatorRussell, Michael A.
dc.creatorBrown, Aaron R.
dc.creatorRayburn, Stephanie
dc.creatorRadford, Aubrie
dc.creatorHale, Christopher
dc.creatorMason, Michael J.
dc.date.accessioned2022-04-29T19:21:40Z
dc.date.available2022-04-29T19:21:40Z
dc.date.issued2022-02-07
dc.identifier.citationWallis D, Coatsworth JD, Mennis J, Riggs NR, Zaharakis N, Russell MA, Brown AR, Rayburn S, Radford A, Hale C, Mason MJ. Predicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use. International Journal of Environmental Research and Public Health. 2022; 19(3):1850. https://doi.org/10.3390/ijerph19031850
dc.identifier.issn1660-4601
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/7592
dc.identifier.urihttp://hdl.handle.net/20.500.12613/7614
dc.description.abstractUsing cannabis to reduce psychological and physical distress, referred to as self-medication, is a significant risk factor for cannabis use disorder. To better understand this high-risk behavior, a sample of 290 young adults (ages 18–25; 45.6% female) were recruited from two U.S. universities in January and February of 2020 to complete a survey about their cannabis use and self-medication. Results: seventy-six percent endorsed using cannabis to reduce problems such as anxiety, sleep, depression, pain, loneliness, social discomfort, and concentration. When predicting reasons for self-medication with cannabis, logistic regression models showed that lower CUDIT-R scores, experiencing withdrawal, living in a state where cannabis was illegal, and being female were all associated with higher rates of self-medication. Withdrawal symptoms were tested to predict self-medication with cannabis, and only insomnia and loss of appetite were significant predictors. To further explore why young adults self-medicate, each of the original predictors were regressed on seven specified reasons for self-medication. Young adults experiencing withdrawal were more likely to self-medicate for pain. Participants living where cannabis is legal were less likely to self-medicate for anxiety and depression. Living where cannabis is illegal also significantly predicted self-medicating for social discomfort—though the overall model predicting social discomfort was statistically non-significant. Finally, female participants were more likely to self-medicate for anxiety. These results suggest widespread self-medication among young adults with likely CUD and underscore the complexity of their cannabis use. The findings have implications for understanding why young adults use cannabis in relation to psychological and physical distress and for accurately treating young adults with cannabis use disorder.
dc.format.extent15 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.relation.haspartInternational Journal of Environmental Research and Public Health, Vol. 19
dc.relation.isreferencedbyMDPI
dc.rightsAttribution CC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAnxiety
dc.subjectCannabis use
dc.subjectCannabis use disorder
dc.subjectDepression
dc.subjectSelf-medication
dc.subjectWithdrawal symptoms
dc.subjectYoung adults
dc.titlePredicting Self-Medication with Cannabis in Young Adults with Hazardous Cannabis Use
dc.typeText
dc.type.genreJournal article
dc.description.departmentGeography and Urban Studies
dc.relation.doihttps://doi.org/10.3390/ijerph19031850
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Liberal Arts
dc.creator.orcidMennis|0000-0001-6319-8622
dc.temple.creatorMennis, Jeremy
refterms.dateFOA2022-04-29T19:21:40Z


Files in this item

Thumbnail
Name:
Mennis-JournalArticle-2022.pdf
Size:
371.1Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record

Attribution CC BY
Except where otherwise noted, this item's license is described as Attribution CC BY