Factors associated with the use of psychedelics, ketamine and MDMA among sexual and gender minority youths in Canada: a machine learning analysis.

Christoffer DharmaEsther LiuDaniel GraceCarmen LogieAlex AbramovichNicholas MitsakakisBruce BaskervilleMichael O Chaiton

Published in: Journal of epidemiology and community health (2024)

The use of psychedelics, MDMA and ketamine among 2SLGBTQ+ individuals appeared to be largely driven by those who used them together with other drugs. Depression scores also appeared in the top 10 factors associated with these illicit drugs, suggesting that there were individuals who may benefit from the potential therapeutic value of these drugs. These characteristics should be further investigated in future studies.

Keyphrases

machine learning
mental health
depressive symptoms
drug induced
artificial intelligence
case control
data analysis