Evaluation of the psychometric properties of the cannabis use disorders identification test - revised among college students

Schultz, Nicole R.; Bassett, Drew T.; Messina, Bryan G.; Correia, Christopher J.

doi:10.1016/j.addbeh.2019.02.016

Cited by 71 publications

(51 citation statements)

References 23 publications

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“…The CUDIT has also shown good internal consistency, concurrent validity (in relation to frequency of use, cannabis-related consequences, and total Diagnostic and Statistical Manual of Mental Disorders [5th ed. ; DSM-5; American Psychiatric Association, 2013] criteria endorsed), discriminant validity, and high levels of sensitivity and specificity (Schultz et al, 2019). An example question from the CUDIT is "On a scale of 0 to 10, how confident are you that you could quit using marijuana if you wanted to, with 0 being not at all confident and 10 being absolutely confident?"…”

Section: Methodsmentioning

confidence: 99%

Motives for Alcohol and Marijuana Use as Predictors of Use and Problem Use Among Young Adult College Students

Patterson

Haardörfer

et al. 2020

Journal of Drug Issues

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This study examined (a) differences between alcohol-only users and alcohol–marijuana co-users and (b) motives for use in relation to alcohol and marijuana use and problem use. Spring 2016 data among 1,870 past 4-month alcohol users (63.6% female, 69.1% White) from seven Georgia colleges/universities were analyzed cross-sectionally and with regard to problem use measured 4 months later. Correlates of co-use ( n = 345; vs. alcohol-only use, n = 1,525) included greater alcohol and marijuana use frequency, problem drinking and marijuana use, and alcohol use motives ( p’s < .05). Controlling for covariates, alcohol use frequency correlated with greater marijuana use frequency and Coping and Self-enhancement alcohol use motives, but lower Conformity alcohol use motives ( p’s < .001); greater Coping and Self-enhancement alcohol use motives ( p’s < .01) predicted problem alcohol use. Marijuana use frequency correlated with greater Coping and Expansion marijuana use motives ( p’s < .05); greater Expansion marijuana use motives ( p = .005) predicted problem marijuana use. College-based substance use interventions should target Coping and Self-enhancement alcohol use motives and Expansion marijuana use motives.

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Section: Methodsmentioning

confidence: 99%

Motives for Alcohol and Marijuana Use as Predictors of Use and Problem Use Among Young Adult College Students

Patterson

Haardörfer

et al. 2020

Journal of Drug Issues

View full text Add to dashboard Cite

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“…They show high validity, as elevated scores on these scales are associated with a high likelihood of an AUD and/or CUD diagnosis 14,30 . Moreover, elevated scores on the CUDIT and the AUDIT correspond to the presence of CUD and AUD diagnoses, respectively, 14,31 indicating that these measures are valid measures of CUD and AUD symptoms. Smoking status was determined using the Monitoring the Future Survey 32 …”

Section: Methodsmentioning

confidence: 99%

“…Sixty-eight met the clinical cutoffs on the AUDIT and/or CUDIT suggestive of AUD (AUDIT ≥ 4) or CUD (CUDIT ≥ 6). 14,31 Forty-five participants had an AUDIT score ≥4, and 61 participants had a CUDIT score ≥6. In line with prior reports of high rates of polysubstance use in adolescents, 24 38 participants had both an AUDIT score ≥4 and CUDIT score ≥6.…”

Section: Clinical Datamentioning

confidence: 99%

Alcohol use disorder and cannabis use disorder symptomatology in adolescents is associated with dysfunction in neural processing of future events

et al. 2020

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Two of the most commonly used substances by adolescents in the United States are cannabis and alcohol. Cannabis use disorder (CUD) and alcohol use disorder (AUD) are associated with impairments in decision-making processes. One mechanism for impaired decision-making in these individuals is thought to be an inability to adequately represent future events during decision-making. In the current study involving 112 adolescents, we used a comparative optimism task to examine the relationship between relative severity of CUD/AUD (as indexed by the CUD/AUD Identification Tests [CUDIT/AUDIT]) and atypical function within neural systems underlying affect-based neural represenation future events. Greater CUDIT scores were negatively related to responses within subgenual anterior and posterior cingulate cortex when processing high-intensity potential future positive and negative events. There was also a particularly marked negative relationship between CUD symptoms and blood oxygen level-dependent (BOLD) responses within visual and premotor cortices to high-intensity, negatively valenced potential future events. However, AUD symptom severity was not associated with dysfunction within these brain regions. These data indicate that relative risk/severity of CUD is associated with reduced responsiveness to future high-intensity events. This may impair decisionmaking where future significant consequences should guide response choice.

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“…Several validated screening tools are available for CUD, such as the revised Cannabis Use Disorder Identification Test. 60 The expert panel recognised that daily cannabis consumption may warrant screening for CUD and possible referral to an addiction medicine or psychiatry service.…”

Section: Preoperative Period Consensus Recommendationsmentioning

confidence: 99%

Perioperative Pain and Addiction Interdisciplinary Network (PAIN): consensus recommendations for perioperative management of cannabis and cannabinoid-based medicine users by a modified Delphi process

Ladha

McLaren-Blades

Goel

et al. 2021

British Journal of Anaesthesia

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In many countries, liberalisation of the legislation regulating the use of cannabis has outpaced rigorous scientific studies, and a growing number of patients presenting for surgery consume cannabis regularly. Research to date suggests that cannabis can impact perioperative outcomes. We present recommendations obtained using a modified Delphi method for the perioperative care of cannabis-using patients. A steering committee was formed and a review of medical literature with respect to perioperative cannabis use was conducted. This was followed by the recruitment of a panel of 17 experts on the care of cannabis-consuming patients. Panellists were blinded to each other's participation and were provided with rater forms exploring the appropriateness of specific perioperative care elements. The completed rater forms were analysed for consensus. The expert panel was then unblinded and met to discuss the rater form analyses. Draft recommendations were then created and returned to the expert panel for further comment. The draft recommendations were also sent to four independent reviewers (a surgeon, a nurse practitioner, and two patients). The collected feedback was used to finalise the recommendations. The major recommendations obtained included emphasising the importance of eliciting a history of cannabis use, quantifying it, and ensuring contact with a cannabis authoriser (if one exists). Recommendations also included the consideration of perioperative cannabis weaning, additional postoperative nausea and vomiting prophylaxis, and additional attention to monitoring and maintaining anaesthetic depth. Postoperative recommendations included anticipating increased postoperative analgesic requirements and maintaining vigilance for cannabis withdrawal syndrome.

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Evaluation of the psychometric properties of the cannabis use disorders identification test - revised among college students

Cited by 71 publications

References 23 publications

Motives for Alcohol and Marijuana Use as Predictors of Use and Problem Use Among Young Adult College Students

Motives for Alcohol and Marijuana Use as Predictors of Use and Problem Use Among Young Adult College Students

Alcohol use disorder and cannabis use disorder symptomatology in adolescents is associated with dysfunction in neural processing of future events

Perioperative Pain and Addiction Interdisciplinary Network (PAIN): consensus recommendations for perioperative management of cannabis and cannabinoid-based medicine users by a modified Delphi process

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