The Cannabis Withdrawal Scale development: Patterns and predictors of Cannabis withdrawal and distress

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Show simple item record Allsop, DJ Norberg, MM Copeland, J Fu, S Budney, AJ 2012-10-12T03:34:24Z 2011-01
dc.identifier.citation Drug and Alcohol Dependence, 2011, 119 (1-2), pp. 123 - 129
dc.identifier.issn 0376-8716
dc.identifier.other C1 en_US
dc.description.abstract Background Rates of treatment seeking for cannabis are increasing, and relapse is common. Management of cannabis withdrawal is an important intervention point. No psychometrically sound measure for cannabis withdrawal exists, and as a result treatment developments cannot be optimally targeted. The aim is to develop and test the psychometrics of the Cannabis Withdrawal Scale and use it to explore predictors of cannabis withdrawal. Methods A volunteer sample of 49 dependent cannabis users provided daily scores on the Cannabis Withdrawal Scale during a baseline week and 2 weeks of abstinence. Results Internal reliability (Cronbach's alpha = 0.91), testretest stability (average intra-class correlation = 0.95) and content validity analysis show that the Cannabis Withdrawal Scale has excellent psychometric properties. Nightmares and/or strange dreams was the most valid item (Wald ?2 = 105.6, P < 0.0001), but caused relatively little associated distress (Wald ?2 = 25.11, P = 0.03). Angry outbursts were considered intense (Wald ?2 = 73.69, P < 0.0001) and caused much associated distress (Wald ?2 = 45.54, P < 0.0001). Trouble getting to sleep was also an intense withdrawal symptom (Wald ?2 = 42.31, P < 0.0001) and caused significant associated distress (Wald ?2 = 47.76, P < 0.0001). Scores on the Severity of Dependence Scale predicted cannabis withdrawal. Conclusions The Cannabis Withdrawal Scale can be used as a diagnostic instrument in clinical and research settings where regular monitoring of withdrawal symptoms is required.
dc.publisher Elsevier Inc
dc.relation.isbasedon 10.1016/j.drugalcdep.2011.06.003
dc.title The Cannabis Withdrawal Scale development: Patterns and predictors of Cannabis withdrawal and distress
dc.type Journal Article
dc.parent Drug and Alcohol Dependence
dc.journal.volume 1-2
dc.journal.volume 119
dc.journal.number 1-2 en_US
dc.publocation Clare, Ireland en_US
dc.identifier.startpage 123 en_US
dc.identifier.endpage 129 en_US SCI.Chemistry and Forensic Sciences en_US
dc.conference Verified OK en_US
dc.for 1103 Clinical Sciences
dc.personcode 103806
dc.percentage 100 en_US Clinical Sciences en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords Cannabis withdrawal
dc.description.keywords Cannabis treatment
dc.description.keywords Cannabis dependence
dc.description.keywords Marijuana withdrawal
dc.description.keywords Cannabis Withdrawal Scale
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - Forensic Science
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)
utslib.collection.history School of Chemistry and Forensic Science (ID: 339)

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