Validation of the Cannabis Abuse Screening Test in a Sample of Cannabis Inpatients

Legleye, Stéphane; Kraus, Ludwig; Piontek, Daniela; Phan, Olivier; Jouanne, Céline

doi:10.1159/000336553

Cited by 35 publications

(30 citation statements)

References 59 publications

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“…Cultural differences can be hypothesized behind the differences. Our results, in line with previous studies [19,21,42], confirmed the one-dimensional structure of CAST. Our results regarding cannabis dependence showed that applying a cut-off score of 2 results in optimal sensitivity, specificity, NPV, and accuracy, but less than optimal PPV.…”

Section: Discussionsupporting

confidence: 93%

“…Similarly, Legleye et al [21] obtained higher values of specificity than sensitivity with an optimal cut-off score of 3 or 4, when testing CAST against DSM-IV among adolescents 17 years of age. A subsequent study [42] found that the screening properties of the questionnaire were unsatisfactory in case of cannabis dependence; however, with regard to cannabis use disorder they obtained good sensitivity and specificity with a cut-off score of 3 (for the binary version) and 6 (for the full version) among the adolescent population of cannabis users seeking treatment.…”

Section: Discussionmentioning

confidence: 99%

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Psychometric Properties of the Cannabis Abuse Screening Test in Hungarian Samples of Adolescents and Young Adults

et al. 2013

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Aim: The aim of our study was to analyze psychometric properties of the Cannabis Abuse Screening Test (CAST). Methods: Our sample comprised Hungarian high school (n = 476; male 56.3%; mean age 19.0 years, SD = 0.65 years) and college students (n = 439; male 65.1%; mean age 23.9 years, SD = 1.56 years) who reported cannabis use in the past year. The sample covered the five biggest universities of Hungary. Besides the CAST, participants responded to the Munich-Composite International Diagnostic Interview. Factor structure was analyzed by a confirmatory factor analysis. Receiver operating characteristic curve analysis was made to assess cut-off scores. Data collection took place in 2010. Results: CAST proved to be a reliable (Cronbach's α 0.71 and 0.76) one-dimensional measure. Regarding both cannabis dependence and cannabis use disorders, a cut-off of 2 points proved to be ideal in both samples, resulting in optimal specificity, negative predictive values and accuracy, but less than optimal positive predictive values (dependence) and low sensitivity (cannabis use disorder). Discussion and Conclusions: In line with former results, the CAST proved to be an adequate measure for the screening of cannabis-related problems among adolescents and young adults in an Eastern European country where this scale has not been studied before.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Cannabis Abuse Screening Test in Hungarian Samples of Adolescents and Young Adults

et al. 2013

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“…Several tools have been developed to screen for ‘harmful' or ‘problematic' cannabis use, ranging from simple instruments, such as the 5-item Severity of Dependence Scale (SDS) [28] to more complex, multi-item scales including the Cannabis Use Disorders Identification Test (CUDIT) [29] and the Cannabis Abuse Screening Test (CAST) [30,31]. The focus of the current study, i.e.…”

Section: Unpacking ‘Problematic' Cannabis Usementioning

confidence: 99%

Problems with the Identification of ‘Problematic' Cannabis Use: Examining the Issues of Frequency, Quantity, and Drug Use Environment

et al. 2014

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Considerable recent attention has focused on how harmful or problematic cannabis use is defined and understood in the literature and put to use in clinical practice. The aim of the current study is to review conceptual and measurement shortcomings in the identification of problematic cannabis use, drawing on the WHO ASSIST instrument for specific examples. Three issues with the current approach are debated and discussed: (1) the identification of problematic cannabis use disproportionately relies on measures of the frequency of cannabis consumption rather than the harms experienced; (2) the quantity consumed on a typical day is not considered when assessing problematic use, and (3) screening tools for problematic use employ a ‘one-size-fits-all approach' and fail to reflect on the drug use context (networks and environment). Our commentary tackles each issue, with a review of relevant literature coupled with analyses of two Canadian data sources - a representative sample of the Canadian adult population and a smaller sample of adult, regular, long-term cannabis users from four Canadian cities - to further articulate each point. This article concludes with a discussion of appropriate treatment interventions and approaches to reduce cannabis-related harms, and offers suggested changes to improve the measurement of problematic cannabis use.

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“…Computing total full CAST scores can range from 0 to 24. Based on previous studies, as the latent class analysis of Legleye et al [4], total scores can be matched to risk categories: low risk (0-3), moderate risk of having cannabis-related problems (4)(5)(6) and high risk of having cannabis-related problems (≥7).…”

Section: Assessmentmentioning

confidence: 99%

“…One of the most used tools has been the Cannabis Abuse Screening Test (CAST). The CAST is a short and accurate tool to distinguish between users with low, moderate, and high risk of being affected by cannabis-related problems and has been used with different kinds of cannabis users [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Criteria to Screen for Cannabis Use Disorder

Casajuana¹,

López‐Pelayo²,

Miquel³

et al. 2018

Eur Addict Res

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Introduction: The Standard Joint Unit (1 SJU = 7 mg of 9-Tetrahydrocannabinol) simplifies the exploration of risky patterns of cannabis use. This study proposes a preliminary quantitative cutoff criterion to screen for cannabis use disorder (CUD). Methodology: Socio-demographical data and information on cannabis quantities, frequency of use, and risk for CUD (measured with the Cannabis Abuse Screening Test (CAST) of cannabis users recruited in Barcelona (from February 2015 to June 2016) were collected. CAST scores were categorized into low, moderate, and high risk for CUD, based on the SJU consumed and frequency. Receiver operating characteristic (ROC) analysis related daily SJU with CUD. Results: Participants (n = 473) were on average 29 years old (SD = 10), men (77.1%), and single (74.6%). With an average of 4 joints per smoking day, 82.5% consumed cannabis almost every day. Risk for CUD (9.40% low, 23.72% moderate, 66.88% high) increased significantly with more frequency and quantities consumed. The ROC analyses suggest 1.2 SJU per day as a cutoff criterion to screen for at least moderate risk for CUD (sensitivity 69.4%, specificity 63.6%). Conclusion: Frequency and quantity should be considered when exploring cannabis risks. A 1 SJU per day is proposed as a preliminary quantitative-based criterion to screen users with at least a moderate risk for CUD.

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Validation of the Cannabis Abuse Screening Test in a Sample of Cannabis Inpatients

Cited by 35 publications

References 59 publications

Psychometric Properties of the Cannabis Abuse Screening Test in Hungarian Samples of Adolescents and Young Adults

Psychometric Properties of the Cannabis Abuse Screening Test in Hungarian Samples of Adolescents and Young Adults

Problems with the Identification of ‘Problematic' Cannabis Use: Examining the Issues of Frequency, Quantity, and Drug Use Environment

Quantitative Criteria to Screen for Cannabis Use Disorder

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