Short scales to assess cannabis-related problems: a review of psychometric properties.
paper
Cited
Public
- Authors
- Piontek, Daniela; Kraus, Ludwig; Klempova, Danica
- Year
- 2008
- Journal
- Substance abuse treatment, prevention, and policy
- PMID
- 19055741
- DOI
- 10.1186/1747-597X-3-25
- PMCID
- PMC2636780
AIMS: The purpose of this paper is to summarize the psychometric properties of four short screening scales to assess problematic forms of cannabis use: Severity of Dependence Scale (SDS), Cannabis Use Disorders Identification Test (CUDIT), Cannabis Abuse Screening Test (CAST) and Problematic Use of Marijuana (PUM). METHODS: A systematic computer-based literature search was conducted within the databases of PubMed, PsychINFO and Addiction Abstracts. A total of 12 publications reporting measures of reliability or validity were identified: 8 concerning SDS, 2 concerning CUDIT and one concerning CAST and PUM. Studies spanned adult and adolescent samples from general and specific user populations in a number of countries worldwide. RESULTS: All screening scales tended to have moderate to high internal consistency (Cronbach's alpha ranging from .72 to .92). Test-retest reliability and item total correlation have been reported for SDS with acceptable results. Results of validation studies varied depending on study population and standards used for validity assessment, but generally sensitivity, specificity and predictive power are satisfactory. Standard diagnostic cut-off points that can be generalized to different populations do not exist for any scale. CONCLUSION: Short screening scales to assess dependence and other problems related to the use of cannabis seem to be a time and cost saving opportunity to estimate overall prevalences of cannabis-related negative consequences and to identify at-risk persons prior to using more extensive diagnostic instruments. Nevertheless, further research is needed to assess the performance of the tests in different populations and in comparison to broader criteria of cannabis-related problems other than dependence.
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| Name | Type |
|---|---|
| acute consequences | phenotype |
| Acute effects local | phenotype |
| adolescent general population sample local | cohort |
| adolescents | cohort |
| adult general population sample local | cohort |
| adults | cohort |
| age | phenotype |
| age at first use | phenotype |
| alcohol | phenotype |
| alcohol dependence | phenotype |
| Alcohol-dependent sample local | cohort |
| amount of cannabis use local | phenotype |
| amphetamines | drug |
| Australia | cohort |
| behavioural outcomes local | phenotype |
| benzodiazepines | drug |
| Brazil local | cohort |
| Cannabis Abuse Screening Test local | phenotype |
| cannabis dependence | phenotype |
| Cannabis harmful use local | phenotype |
| cannabis-related disorder local | phenotype |
| cannabis-related disorders local | phenotype |
| Cannabis-related functional impairment local | phenotype |
| cannabis related injury local | phenotype |
| cannabis-related problems | phenotype |
| cannabis use | phenotype |
| cannabis use disorder | phenotype |
| Cannabis Use Disorders Identification Test local | phenotype |
| cannabis users | phenotype |
| CAST local | phenotype |
| CAST score local | phenotype |
| Chronic health effects local | phenotype |
| clinical population | cohort |
| clinical setting local | cohort |
| cocaine | phenotype |
| consumption patterns | phenotype |
| CUDIT local | phenotype |
| Dependence symptoms | phenotype |
| depression | phenotype |
| drug dependence | phenotype |
| DSM-IV | phenotype |
| DSM-IV diagnosis of cannabis dependence local | phenotype |
| European population | cohort |
| France | cohort |
| frequency of alcohol use | phenotype |
| frequency of cannabis use local | phenotype |
| general population | cohort |
| general population samples | cohort |
| Germany | cohort |
| health problems | phenotype |
| heavy cannabis use | phenotype |
| high risk of abuse local | phenotype |
| ICD-10 | phenotype |
| Intensity of use local | phenotype |
| long-term cannabis dependence local | phenotype |
| Long-term cannabis users local | cohort |
| mental health impairment local | phenotype |
| mood disorders | phenotype |
| motivational aspects of cannabis use local | phenotype |
| New Zealand | cohort |
| opiates | drug |
| opioid dependence | phenotype |
| Out-patients with alcohol dependence local | cohort |
| physical health | phenotype |
| physical health impairment local | phenotype |
| Poland | cohort |
| probabilistic sample local | cohort |
| Problematic Use Measure local | phenotype |
| problem cannabis use | phenotype |
| problem cannabis users local | phenotype |
| Problem Oriented Screening Instrument for Teenagers local | phenotype |
| psychopathology | phenotype |
| psychosis | phenotype |
| psychosocial consequences local | phenotype |
| Psychosocial distress local | phenotype |
| psychosocial problems related to cannabis consumption local | phenotype |
| PUM local | phenotype |
| quantity of cannabis use local | phenotype |
| Regular cocaine users local | cohort |
| schizophrenia | phenotype |
| school problems | phenotype |
| SDS total score local | phenotype |
| Severity of Dependence Scale local | phenotype |
| sex | phenotype |
| Social level local | phenotype |
| social problems | phenotype |
| Spain | cohort |
| Steiner et al. study local | cohort |
| substance use | phenotype |
| substance use dependence local | phenotype |
| Switzerland | cohort |
| targeted sample of preselected cannabis users local | cohort |
| total duration of use local | phenotype |
| Treatment demands local | phenotype |
| Unstable health conditions local | phenotype |
| usual hours being stoned local | phenotype |
| Younger generations local | cohort |
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| The psychometric properties of validated tools to assess cannabis use disorder: A systematic review and meta-analysis. | Leung J et al. | β | 2026 | β |
| What is a "Cannabis User"? | Fisher R | β | 2026 | β |
| Claudin-12: guardian of the tissue barrier or friend of tumor cells. | Apostolova D et al. | β | 2025 | β |
| Perceived social support according to the type and number of addictions. | Tomei A et al. | β | 2025 | β |
| Avoidance biases for vaping stimuli among college students with electronic-cigarette use. | Sklenarik SM et al. | β | 2024 | β |
| Meaningfully Characterizing Cannabis Use for Research and Clinical Settings: A Comprehensive Review of Existing Measures and Proposed Future Directions. | Martin-Willett R et al. | β | 2024 | β |
| Mental and Physical Health-Related Cannabis Motives Mediate the Relationship between Childhood Trauma and Problematic Cannabis Use over Time among Emerging Adult Cannabis Users. | Conn BM et al. | β | 2024 | β |
| A Scoping Review of Risk and Protective Factors for Negative Cannabis Use Consequences. | Grigsby TJ et al. | β | 2023 | β |
| Does recreational cannabis legalization change cannabis use patterns? Evidence from secondary school students in Uruguay. | Rivera-Aguirre A et al. | β | 2022 | β |
| Perceived Efficacy, Reduced Prescription Drug Use, and Minimal Side Effects of Cannabis in Patients with Chronic Orthopedic Pain. | Greis A et al. | β | 2022 | β |
| Alcohol Use Disorders among Slovak and Czech University Students: A Closer Look at Tobacco Use, Cannabis Use and Socio-Demographic Characteristics. | Gavurova B et al. | β | 2021 | β |
| A review investigating the relationship between cannabis use and adolescent cognitive functioning. | Cyrus E et al. | β | 2021 | β |
| Cannabis Use Among Patients With Psychotic Disorders. | Hirschtritt ME et al. | β | 2021 | β |
| Cognitive Function Impairments Linked to Alcohol and Cannabis Use During Adolescence: A Study of Gender Differences. | Noorbakhsh S et al. | β | 2020 | β |
| A Population-Based Analysis of the Relationship Between Substance Use and Adolescent Cognitive Development. | Morin JG et al. | β | 2019 | β |
| Cannabis for the Treatment of Chronic Pain in the Era of an Opioid Epidemic: A Symposium-Based Review of Sociomedical Science. | Maher DP et al. | β | 2019 | β |
| Which biological and self-report measures of cannabis use predict cannabis dependency and acute psychotic-like effects? | Curran HV et al. | β | 2019 | β |
| Made from concentrate? A national web survey assessing dab use in the United States. | Sagar KA et al. | β | 2018 | β |
| Prevalence of problematic cannabis use in Canada: Cross-sectional findings from the 2013 Canadian Tobacco, Alcohol and Drugs Survey. | Leos-Toro C et al. | β | 2018 | β |
| The Cannabis Abuse Screening Test and the DSM-5 in the general population: Optimal thresholds and underlying common structure using multiple factor analysis. | Legleye S | β | 2018 | β |
| Application of randomized response techniques for investigating cannabis use by Spanish university students. | Cobo B et al. | β | 2017 | β |
| Assessing the structure of the CAST (Cannabis Abuse Screening Test) in 13 European countries using multigroup analyses. | Legleye S et al. | β | 2017 | β |
| Cannabis-related hippocampal volumetric abnormalities specific to subregions in dependent users. | Chye Y et al. | β | 2017 | β |
| Clearing the haze: the complexities and challenges of research on state marijuana laws. | Choo EK et al. | β | 2017 | β |
| Meat Consumption During Pregnancy and Substance Misuse Among Adolescent Offspring: Stratification of TCN2 Genetic Variants. | Hibbeln JR et al. | β | 2017 | β |
| Psychometric properties of the Spanish version of the Cannabis Use Problems Identification Test among Chilean university students: A validation study. | Cantillano V et al. | β | 2017 | β |
| Psychometric Properties of the Turkish Versions of the Cannabis Use Problems Identiο¬cation Test (CUPIT) and the Adult Cannabis Problems Questionnaire (CPQ). | Evren C et al. | β | 2017 | β |
| What Did You Expect?: The Interaction Between Cigarette and Blunt vs. Non-Blunt Marijuana Use among African American Young Adults. | Montgomery L et al. | β | 2017 | β |
| An evaluation of the impact of 'Lifeskills' training on road safety, substance use and hospital attendance in adolescence. | Teyhan A et al. | β | 2016 | β |
| Attempts to stop or reduce daily cannabis use: An intensive natural history study. | Hughes JR et al. | β | 2016 | β |
| Assessing Drug Consumption Behavior With the Heidelberger Drogenbogen (Heidelberg Drug Scales): Reliabilities, Validities, and Cut-Off Criteria. | Aguilar-Raab C et al. | β | 2015 | β |
| Assessment of cannabis use disorders: a systematic review of screening and diagnostic instruments. | LΓ³pez-Pelayo H et al. | β | 2015 | β |
| Association between personality disorders traits and problematic cannabis use in adolescents. | Chabrol H et al. | β | 2015 | β |
| Cannabis use and other predictors of the onset of daily cigarette use in young men: what matters most? Results from a longitudinal study. | Becker J et al. | β | 2015 | β |
| Prevalence of psychoactive substance use among youth in Rwanda. | Kanyoni M et al. | β | 2015 | β |
| Properties of the Cannabis Abuse Screening Test (CAST) in the general population. | Legleye S et al. | β | 2015 | β |
| Association of dopamine receptor D2 TaqI A polymorphism and cannabis use disorder in Lagos, Nigeria. | Adedeji OH et al. | β | 2014 | β |
| Predictors of onset of cannabis and other drug use in male young adults: results from a longitudinal study. | Haug S et al. | β | 2014 | β |
| Psychometric properties of the Cannabis Abuse Screening Test in Hungarian samples of adolescents and young adults. | Gyepesi A et al. | β | 2014 | β |
| Relationship between dispositional mindfulness and substance use: findings from a clinical sample. | Bowen S et al. | β | 2014 | β |
| Risk factors of Ξ³-hydroxybutyrate overdosing. | Korf DJ et al. | β | 2014 | β |
| A validation of the Cannabis Abuse Screening Test (CAST) using a latent class analysis of the DSM-IV among adolescents. | Legleye S et al. | β | 2013 | β |
| Childhood conduct disorder trajectories, prior risk factors and cannabis use at age 16: birth cohort study. | Heron J et al. | β | 2013 | β |
| Feasibility and impact of brief interventions for frequent cannabis users in Canada. | Fischer B et al. | β | 2013 | β |
| Measurement invariance of DSM-IV alcohol, marijuana and cocaine dependence between community-sampled and clinically overselected studies. | Derringer J et al. | β | 2013 | β |
| Optimal scaling of the CAST and of SDS Scale in a national sample of adolescents. | Bastiani L et al. | β | 2013 | β |
| Reliability and validity of the Severity of Dependence Scale for detecting cannabis dependence in frequent cannabis users. | van der Pol P et al. | β | 2013 | β |
| Risky cannabis use is associated with alexithymia, frontal lobe dysfunction, and impulsivity in young adult cannabis users. | Lyvers M et al. | β | 2013 | β |
| The choice of screening instrument matters: the case of problematic cannabis use screening in spanish population of adolescents. | Thanki D et al. | β | 2013 | β |
| Dimensions and severity of marijuana consequences: development and validation of the Marijuana Consequences Questionnaire (MACQ). | Simons JS et al. | β | 2012 | β |
| Screening of cannabis-related problems among youth: the CPQ-A-S and CAST questionnaires. | Fernandez-Artamendi S et al. | β | 2012 | β |
| [Managing the use of cannabis in a young population in primary care]. | Madoz-GΓΊrpide A et al. | β | 2011 | β |
| Psychometric properties of the Cannabis Abuse Screening Test (CAST) in a French sample of adolescents. | Legleye S et al. | β | 2011 | β |
| The DSM Guided Cannabis Screen (DSM-G-CS): description, reliability, factor structure and empirical scoring with a clinical sample. | Alexander D et al. | β | 2011 | β |
| Development of a short cannabis problems questionnaire for adolescents in the community. | Proudfoot H et al. | β | 2010 | β |
| Frequency of 5+/4+ drinks as a screener for drug use and drug-use disorders. | Dawson DA et al. | β | 2010 | β |
| Revising the Cannabis Use Disorders Identification Test (CUDIT) by means of Item Response Theory. | Annaheim B et al. | β | 2010 | β |
| The Cannabis Use Problems Identification Test (CUPIT): development, reliability, concurrent and predictive validity among adolescents and adults. | Bashford J et al. | β | 2010 | β |