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

Helen Valerie Curran, Chandni Hindocha, Celia J. A. Morgan, Natacha D. C. Shaban, Ravi Das, Tom P. Freeman

Psychological Medicine September 4, 2018 DOI: 10.1017/s003329171800226x (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study (naturalistic, within-subject counterbalanced design) Peer reviewed
Sample size 410
Population Young cannabis users
Measures Severity of Dependence Scale (SDS), DSM-IV-TR, Psychotomimetic State Inventory (PSI), Brief Psychiatric Rating Scale (BPRS)
Topics Cannabis
Citations 65
Key findings Cannabis dependency was positively associated with days per month of cannabis use on both the SDS and DSM-IV-TR, and with urinary THC-COOH/creatinine on the SDS. Acute psychotic-like symptoms were positively associated with age of first cannabis use and negatively with urinary THC-COOH/creatinine; no predictors emerged for BPRS. The authors conclude that THC exposure levels are positively associated with both dependency and tolerance to 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 own cannabis (THC, CBD), a sample of their hair (THC, THC-OH, THC-COOH, CBN, CBD) and their urine (THC-COOH/creatinine). Comprehensive self-report measures were also obtained. Self-reported and clinician-rated assessments were taken for cannabis dependency [Severity of Dependence Scale (SDS), DSM-IV-TR] and acute psychotic-like symptoms [Psychotomimetic State Inventory (PSI) and Brief Psychiatric Rating Scale (BPRS)].

Results: Cannabis dependency was positively associated with days per month of cannabis use on both measures, and with urinary THC-COOH/creatinine for the SDS. Acute psychotic-like symptoms were positively associated with age of first cannabis use and negatively with urinary THC-COOH/creatinine; no predictors emerged for BPRS.

Conclusions: Levels of THC exposure are positively associated with both cannabis dependency and tolerance to the acute psychotic-like effects of cannabis. Combining urinary and self-report assessments (use frequency; age first used) enhances the measurement of cannabis use and its association with adverse outcomes.

Comparable studies

Other experimental studies on cannabis, most cited first.

Study Year Design Participants
Smoked Cannabis' Psychomotor and Neurocognitive Effects in Occasional and Frequent Smokers Occasional (<2x/week) and frequent (≥4x/week) cannabis smokers 2015 Controlled within-subjects study n = 25
Dissociable effects of cannabis with and without cannabidiol on the human brain’s resting-state functional connectivity Healthy volunteers experienced with cannabis but not regular users 2019 Within-subjects experimental design n = 17
Cannabis Essential Oil: A Preliminary Study for the Evaluation of the Brain Effects Healthy volunteers 2018 Experimental study n = 5
Coming off cannabis: a cognitive and magnetic resonance imaging study in patients with multiple sclerosis Patients with multiple sclerosis who began using cannabis after disease onset, used it... 2019 Quasi-experimental study with odd-even allocation n = 40
Cannabis-induced altered states of consciousness are associated with specific dynamic brain connectivity states Healthy occasional cannabis users (smoking cannabis ≤2 per week) 2019 Repeated-measures, within-subjects design n = 19

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