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Decision Making and Impulsivity in Young Adult Cannabis Users
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Aims: Chronic cannabis users show impairments on laboratory measures of decision making which reflect risk factors for initiation and continued use of cannabis. However, the differential sensitivity of these tasks to cannabis use has not been established. Moreover, studies to date have often lacked assessment of psychiatric histories and use of other illicit substances, both of which may influence decision making outcomes. The current study aimed to address these limitations by (1) including multiple types of decision making tasks, (2) implementing the Probabilistic Reversal Learning Task, a measure of decision making under uncertainty, for the first time in cannabis users, (3) including young adult cannabis users with no other psychiatric disorders, and (4) conducting urinalysis to exclude users of other illicit drugs. Methods: Thirty-three current cannabis users without comorbid psychiatric disorders and 35 cannabis non-users completed behavioral measures of decision-making (Iowa Gambling Task), reward discounting (Delay Discounting Task), choice-outcome learning (the Probabilistic Reversal Learning Task) and a questionnaire assessment of impulsivity (Barratt Impulsiveness Scale). Results: Relative to non-users, cannabis users demonstrated greater preference for immediate vs. delayed rewards on the Delay Discounting Task, made fewer advantageous decisions on the Iowa Gambling Task, and endorsed greater impulsivity on the Barratt Impulsiveness Scale scales. Cannabis users and non-users showed comparable performance on the Probabilistic Reversal Learning Task. Frequency of past-month cannabis use and total years of use did not predict decision making or impulsivity. Conclusions: Young adult cannabis users demonstrated higher discounting rates and impairments in learning cost-benefit contingencies, while reversal learning was unaffected. Self-reported impulsivity was elevated as well. None of these measures correlated with current or lifetime estimates of cannabis use, arguing against a dose-relationship. Interventions that target improvement in affected components of decision making may be helpful in reducing cannabis use and relapse.
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Similar items querying estimates of lifetime number of cannabis use occasions, lifetime number of joints, and lifetime number of cannabis use days have been used to estimate lifetime cannabis consumption in young adult samples.
“Similar items querying estimates of lifetime number of cannabis use occasions (O'Donnell et al., 2021), lifetime number of joints (Gonzalez et al., 2012; Verdejo-Garcia et al., 2013), and lifetime number of cannabis use days (Pacheco-Colón et al., 2019) have been used to estimate lifetime cannabis consumption in young adult samples.”
From Cannabis Use and Academic Performance in College Students: The Role of Procrastination (2024) · cites this paper as O'Donnell et al., 2021
The Methods section (Clinical Interviews and Drug Use Assessment; page not available) describes a questionnaire used to estimate lifetime cannabis consumption in a sample aged 18–35. It says lifetime consumption was estimated as a number of joints, with participants reporting consumption per drug-use occasion; it does not say they estimated the lifetime number of use occasions. The other measures in the citing sentence are attributed to different sources. (LLM, conf=0.85)
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Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls.
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Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective
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“Chronic cannabis users show deficits on a variety of decision making tasks (Bechara, 2005; Crean et al., 2011; Fatima et al., 2019).”
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Cannabis Use and Academic Performance in College Students: The Role of Procrastination
Mullin, C., & Cservenka, A. (2024) · Cannabis · doi:10.26828/cannabis/2024/000215 · Cited by 5
“Similar items querying estimates of lifetime number of cannabis use occasions (O'Donnell et al., 2021), lifetime number of joints (Gonzalez et al., 2012; Verdejo-Garcia et al., 2013), and lifetime number of cannabis use days (Pacheco-Colón et al., 2019) have been used to estimate lifetime cannabis…”
Metadata
- Authors
- O'Donnell, B. F., Skosnik, P. D., Hetrick, W. P., & Fridberg, D. J.
- Affiliations
- Yale University (US)
- Indiana University Bloomington (US)
- University of Chicago (US)
- Corresponding author
- Fridberg, Daniel J.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2021-07-01
- Volume
- 12
- Pages
- 679904-679904
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC8280309
- OpenAlex
- W3186985472
- Cited by
- 41
- References
- 8
- Citations by year
- 2026: 12 · 2025: 5 · 2024: 8 · 2023: 6 · 2022: 10
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute on Drug Abuse
- National Institutes of Health
- National Alliance for Research on Schizophrenia and Depression
- Topics
- Health Sciences › Medicine › Pharmacology (medical) › Cannabis and Cannabinoid Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- cannabis use, decision-making, impulsivity, young adults, delay discounting, Iowa Gambling Task, probabilistic reversal learning, reward discounting, Barratt Impulsiveness Scale, relapse prevention
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