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Dataset Information

Which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like effects?


ABSTRACT:

Background

Changes in cannabis regulation globally make it increasingly important to determine what predicts an individual's risk of experiencing adverse drug effects. Relevant studies have used diverse self-report measures of cannabis use, and few include multiple biological measures. Here we aimed to determine which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like symptoms.

Method

In a naturalistic study, 410 young cannabis users were assessed once when intoxicated with their own cannabis and once when drug-free in counterbalanced order. Biological measures of cannabinoids [(Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD), cannabinol (CBN) and their metabolites)] were derived from three samples: each participant's ow

SUBMITTER: Curran HV 

PROVIDER: S-EPMC6541869 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature