Repository logo
 

What App? Demographic and Drug Use Predictors of Buying Drugs via Different Social Media and Messaging Apps

aut.relation.articlenumber105220
aut.relation.journalInternational Journal of Drug Policy
aut.relation.startpage105220
aut.relation.volume151
dc.contributor.authorvan der Sanden, R
dc.contributor.authorWilkins, C
dc.contributor.authorParker, K
dc.contributor.authorRychert, M
dc.date.accessioned2026-03-26T22:20:35Z
dc.date.available2026-03-26T22:20:35Z
dc.date.issued2026-03-05
dc.description.abstractIntroduction: Improving our understanding of how demographic and drug use factors shape social media drug market engagement is integral to targeting harm reduction and prevention responses to high-risk drug use and digital harm. Aim To identify demographics and drug use patterns that correlate with using specific social media platforms to purchase drugs. Methods: An anonymous online survey of New Zealanders who use drugs (N = 10,781) was used to explore social media drug purchasing. Logistic regression models were fitted to identify demographic and drug use correlates of using Facebook/Messenger, Snapchat, Instagram or high security apps (Telegram, Signal, Wickr) to purchase drugs. Results: Sixteen percent reported purchasing drugs via social media (n = 1731). Facebook/Messenger was most used (54.2 %), followed by Snapchat (47.5), Instagram (24.7) and high security apps (17.6). Respondents aged under 30 were more likely to report using Snapchat and less likely to report using Facebook/Messenger or high security apps. Snapchat purchasers were more likely to be Asian, students, use MDMA/ecstasy and cocaine, and purchase via “friends/family”. High security app purchasers were more likely to identify as male, reside in urban areas, use methamphetamine, psychedelics and cocaine, and purchase from a “drug dealer”. Facebook/Messenger purchasers were more likely to report a low income, reside in small town/rural area; and purchase from “gang members”, “drug dealers” and “friends/family”. Instagram purchasers were more likely to report cocaine use and purchasing from “friends/family”. Conclusions: Use of social media apps for drug buying are influenced by demographics (mainly age), drug market contexts, and drug type used.
dc.identifier.citationInternational Journal of Drug Policy, ISSN: 0955-3959 (Print); 1873-4758 (Online), Elsevier BV, 151, 105220-. doi: 10.1016/j.drugpo.2026.105220
dc.identifier.doi10.1016/j.drugpo.2026.105220
dc.identifier.issn0955-3959
dc.identifier.issn1873-4758
dc.identifier.urihttp://hdl.handle.net/10292/20820
dc.languageeng
dc.publisherElsevier BV
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0955395926000721
dc.rights© 2026 The Author(s). Published by Elsevier B.V. This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
dc.rights.accessrightsOpenAccess
dc.subjectHybrid drug markets
dc.subjectSocial media-facilitated drug purchasing
dc.subjectSocial supply
dc.subjectYouth drug use
dc.subject4407 Policy and Administration
dc.subject4206 Public Health
dc.subject42 Health Sciences
dc.subject44 Human Society
dc.subjectBehavioral and Social Science
dc.subjectCocaine
dc.subjectSubstance Misuse
dc.subjectDrug Abuse (NIDA only)
dc.subjectStimulant Use and Misuse
dc.subject3 Good Health and Well Being
dc.subject11 Medical and Health Sciences
dc.subject16 Studies in Human Society
dc.subject17 Psychology and Cognitive Sciences
dc.subjectSubstance Abuse
dc.subject4206 Public health
dc.subject4407 Policy and administration
dc.titleWhat App? Demographic and Drug Use Predictors of Buying Drugs via Different Social Media and Messaging Apps
dc.typeJournal Article
pubs.elements-id755717

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1-s2.0-S0955395926000721-main.pdf
Size:
661.46 KB
Format:
Adobe Portable Document Format
Description:
Journal article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.37 KB
Format:
Plain Text
Description: