The Cannabis Use Problems Identification Test (CUPIT): development, reliability, concurrent and predictive validity among adolescents and adults

Bashford, Jan; Flett, Ross; Copeland, Jan

doi:10.1111/j.1360-0443.2009.02859.x

Cited by 130 publications

(68 citation statements)

References 48 publications

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“…Similarly, a single episode of use in the past 3 months, coupled with the expression of a ‘strong desire' to use cannabis at least once in the past 3 months, is sufficient to meet the minimum threshold for moderate risk. The consequences of this low threshold are two-fold: many individuals who regularly use cannabis suffer no problems or harms (false positives), while other individuals who consume infrequently do experience harms (false negatives) [7,34,47]. …”

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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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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“…The CUPIT is composed of two subscales, (1) Impaired Control and (2) Problems. Research on the CUPIT has supported that the CUPIT is both a reliable and valid measure of problematic marijuana use in adolescent and adult samples (Bashford, Flett, & Copeland, 2010). The CUPIT subscales show significant correlations with total counts of Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) symptoms of marijuana use disorders (abuse and dependence), as well as a number of other marijuana dependence questionnaires.…”

Section: Cannabis Use Problems Identification Test (Cupit)mentioning

confidence: 99%

“…The CUPIT (Bashford, Flett, & Copeland, 2010) is a brief self-report screening instrument for detection of problematic marijuana use (Appendix F). The CUPIT is composed of two subscales, (1) Impaired Control and (2) Problems.…”

Section: Cannabis Use Problems Identification Test (Cupit)mentioning

confidence: 99%

The impact of personalized feedback on marijuana use: Examining a brief intervention delivered via the Internet

Towe

Stephens

2014

Drug and Alcohol Dependence

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Marijuana use remains the most commonly used illicit drug in the United States, and many people experience problems related to their marijuana use yet do not seek treatment. Web-based interventions for problematic marijuana use represent a potentially cost-effective and highly accessible way to reach a large number of adults who are ambivalent about changing their marijuana use, or are concerned about seeking in-person counseling for their use. The goal of this online study was to evaluate the effectiveness of a brief web-based feedback intervention for adult marijuana users who reported at least some problems related to their marijuana use. Eightytwo adult college students who reported at least some problems related to marijuana use at baseline were randomized to one of two conditions to examine whether a personalized feedback report would impact marijuana use at follow-up relative to an education control group. Feedback reports were delivered to participants after completion of a baseline assessment battery, and participants were reassessed at one-and three-months post-baseline. Primary outcome variables were problems related to marijuana use and frequency of marijuana use. Main outcome analyses examined change over time by condition as well as possible moderating variables of Stage of Change and family history of problematic substance use. Both marijuana-related problems and marijuana use rates showed some indication of reduction over time at the one-month follow-up, but there were no significant interactions by condition indicative of differential change. These reductions were not sustained at three-months. Analyses across the final follow-up period were likely not significant due to low follow-up completion rates, as well as an overall lower-thanexpected sample size. Study recruitment will continue for one additional year to increase sample size for future analyses, but at this time there was no clear evidence the personalized feedback intervention was effective.iii

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“…Hence, harnessing a burgeoning variety of innovative technologydelivered interventions [59], public health SEI initiatives should target vulnerable adolescents at risk/on a trajectory to cannabis dependence to arrest transition to more serious harms. Specifically developed and/or validated for adolescent and adult general and clinical populations, appropriate screening tools include the Cannabis Use Problems Identification Test [37] and the SDS [45].…”

Section: Discussionmentioning

confidence: 99%

“…Given both rising consumption and ever-younger initiation worldwide [33,36] cannabis use and disorder trajectories require more comprehensive delineation to expedite recognition of incubating dependence in order to intervene effectively among younger high-risk users. To supplement the sparse literature on the natural history of cannabis use and dependence development, this paper presents data collected in a baseline and 12-month follow-up interview with a mixed adolescent-adult sample of at-risk cannabis users recruited in New Zealand as part of research aimed at developing a brief screener for cannabis problems and reported elsewhere [37].…”

Section: Introductionmentioning

confidence: 99%

Cannabis Use and Disorder Transitions Among a Mixed Community Sample of At-Risk Adolescents and Adults: A Prospective New Zealand Study

Bashford¹,

Copeland²,

Flett³

2013

TOADDJ

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Introduction and Aims:The trajectories of cannabis use disorder (CUD) require more comprehensive delineation to expedite recognition of incubating dependence among high-risk users. This study examined baseline cannabis use and CUD over 12 months using DSM-IV/ICD10 diagnoses to distinguish transition groups. Design and Methods:In a prospective naturalistic design, 194 heterogeneous cannabis users (128 adolescents, 66 adults) aged 13-61 years were voluntarily recruited and assessed at baseline, and then re-assessed 12-months later.Results: Most participants met criteria for a baseline CUD (70% dependence, 20% abuse), 12 adolescents were 'diagnostic orphans', and 5 symptom-free. At follow-up, 25% adolescents reported using less, 6% the same level, and 69% using more cannabis. Significantly increased symptoms and dependence severity were reported, with no adolescent/adult differences evident. Three diagnostic transition groups were identified. While 84% adolescents (n=108) remained stable, 5% (n=7) had improved, 10% (n=13) had deteriorated. 'Deteriorators' scored significantly higher than 'improvers' on cannabis use, symptoms, and dependence severity measures. A subjective loss of control over cannabis use was among the earliest DSM-IV features among younger users on a trajectory towards dependence. Most participants (79%) anticipated difficulty trying to reduce/quit their use Discussion and Conclusions: Younger adolescents can rapidly develop cannabis dependence, reporting similar and equally severe symptoms as longer-term adult users. Impaired control over use occurs early in trajectories towards dependence. The seeming intractability of problematic cannabis use calls for concerted cannabis screening and early intervention (SEI) efforts at an earlier age to avert or reduce harmful consequences of cannabis use in the community.

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The Cannabis Use Problems Identification Test (CUPIT): development, reliability, concurrent and predictive validity among adolescents and adults

Abstract: The CUPIT is a brief cannabis screener that is reliable, valid and acceptable for use across diverse community settings and consumers of all ages. The CUPIT has clear potential to assist with achievement of public health goals to reduce cannabis-related harms in the community.

Cited by 130 publications

References 48 publications

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

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

The impact of personalized feedback on marijuana use: Examining a brief intervention delivered via the Internet

Cannabis Use and Disorder Transitions Among a Mixed Community Sample of At-Risk Adolescents and Adults: A Prospective New Zealand Study

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