The Cannabis Withdrawal Scale was developed with excellent reliability (Cronbach's alpha = 0.91), finding nightmares as the most diagnostic symptom and angry outbursts as the most distressing.
Read this if you are experiencing cannabis withdrawal or want to understand what the most common withdrawal symptoms are.
Nightmares: most diagnostic. Angry outbursts: most distressing.
What the researchers found
Researchers developed and validated the Cannabis Withdrawal Scale using 49 dependent cannabis users who provided daily symptom scores during one baseline week and two weeks of abstinence.
The scale demonstrated excellent psychometric properties: internal reliability (Cronbach's alpha = 0.91) and test-retest stability (average intra-class correlation = 0.95).
Nightmares and strange dreams were the most statistically valid withdrawal indicator (Wald chi-squared = 105.6) but caused relatively little distress. Angry outbursts were both intense (Wald chi-squared = 73.69) and highly distressing (Wald chi-squared = 45.54). Difficulty falling asleep was also intense (Wald chi-squared = 42.31) and distressing (Wald chi-squared = 47.76).
Scores on the Severity of Dependence Scale predicted the severity of cannabis withdrawal symptoms.
Why it matters
Having a validated withdrawal measure was essential for clinical trials of cannabis dependence treatments and for establishing cannabis withdrawal as a clinically recognized condition.
The numbers in context
49 dependent cannabis users. Cronbach's alpha = 0.91. Intra-class correlation = 0.95. Nightmares: Wald chi-squared = 105.6. Angry outbursts: Wald chi-squared = 73.69. Sleep onset difficulty: Wald chi-squared = 42.31.
How the study worked
Prospective validation study with 49 dependent cannabis users providing daily Cannabis Withdrawal Scale scores during 1 week of baseline use and 2 weeks of monitored abstinence. Psychometric analysis included internal reliability, test-retest stability, content validity, and predictor analysis.
What this study cannot tell us
Volunteer sample of 49 participants may not represent all cannabis-dependent populations. Two weeks of abstinence may not capture the full withdrawal timeline. Self-reported symptoms.
How to read the evidence
Well-designed psychometric validation study with excellent reliability statistics, though with a moderate sample size.
When this study was published
Published in 2011. The Cannabis Withdrawal Scale has been widely used in subsequent research.
The bigger picture
This scale became an important tool for cannabis dependence research and clinical practice, contributing to the eventual inclusion of cannabis withdrawal as a diagnosis in the DSM-5.
Questions still open
- How does the Cannabis Withdrawal Scale perform in clinical treatment settings? Do withdrawal severity scores predict treatment outcomes?
Common questions
What is the worst cannabis withdrawal symptom?
Is cannabis withdrawal a real medical condition?
Read the original research
The Cannabis Withdrawal Scale development: patterns and predictors of cannabis withdrawal and distress.
Drug and alcohol dependence, 119(1-2), 123-9
Citation
Allsop, David J; Norberg, Melissa M; Copeland, Jan; Fu, Shanlin; Budney, Alan J. (2011). The Cannabis Withdrawal Scale development: patterns and predictors of cannabis withdrawal and distress.. Drug and alcohol dependence, 119(1-2), 123-9. https://doi.org/10.1016/j.drugalcdep.2011.06.003
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