Impulsivity, Sensation Seeking, and Decision-Making in Long-Term Abstinent Cannabis Dependent Patients

Delibaş, Dursun Hakan; Akseki, Hüseyin Serdar; Erdoğan, Esin; Zorlu, Nabi; Gülseren, Şeref

doi:10.5152/npa.2017.19304

Cited by 6 publications

(4 citation statements)

References 46 publications

(55 reference statements)

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“…Other behavioral tasks that tap into elements of reward learning have mixed findings in showing reward learning deficits in cannabis use populations. However, those that demonstrate impaired learning, often find greater deficits in relation to greater chronicity (Delibaş et al, 2017; Hermann et al, 2009) frequency (Bolla et al, 2005; Verdejo-Garcia et al, 2007), higher THC potency (Shannon et al, 2010) and dependence (Gonzalez et al, 2012). Similarly, animal studies show that cannabis administration, particularly high THC doses, results in failure to develop reward associations in a conditioned place preference paradigm, or even led to place aversion (Han et al, 2017; Sañudo-Peña et al, 1997; Vann et al, 2008) and attenuates electrical self-stimulation (Anagnostou & Panagis, 2013; Wiebelhaus et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Findings are limited by methodological variability, and inconsistency in cannabis use parameters (e.g., frequency, chronicity, potency, abstinence), which often vary widely or are not reported. Nevertheless, there is some evidence for greater impairment with chronic use (Delibaş et al, 2017; Hermann et al, 2009), increased frequency (Bolla et al, 2005; Verdejo-Garcia et al, 2007), higher THC potency (Shannon et al, 2010), and dependence (Gonzalez et al, 2012). With careful consideration of a range of cannabis use characteristics, the present study aims to evaluate reward learning in a recreational cannabis use sample.…”

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confidence: 99%

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Reward learning capacity in a community sample of individuals who use cannabis.

Turner,

Punia,

Pizzagalli

et al. 2024

Experimental and Clinical Psychopharmacology

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Cannabis use has been linked to deficient reward processing; however, little is known about its relation to the specific construct of reward learning, in which behavior is modified through associating novel stimuli with a positive outcome. The probabilistic reward task was used to objectively evaluate reward learning in 38 individuals who use recreational cannabis and 34 control comparison participants from the community. Reward learning was evidenced by the development of a response bias, which indicates the propensity to modulate behavior as a function of prior reinforcement. Both cannabis and control groups demonstrated reward learning, with no group differences in response bias development. Among cannabis participants, trending significant relationships between greater chronicity, r(36) = −.30, p = .077, self-reported potency, r(19) = −.33, p = .052, and poorer reward learning were found. Nonsignificant relationships were found between reward learning and frequency, age of initiation, weekly quantity or Cannabis Use Disorder Identification Test-Revised (CUDIT-R) scores (all p > .05). The ability to form noncannabis reward associations is promising for the success of therapeutic interventions for problematic cannabis use; however, indications of severity of use in relation to poorer reward learning suggests a need for a better pharmacological and pharmacokinetic understanding of cannabis. Public Health SignificanceThis study suggests that individuals who use cannabis maintain the ability to form reward associations outside of the substance, while highlighting the importance of considering severity of use when evaluating this relationship.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

Reward learning capacity in a community sample of individuals who use cannabis.

Turner,

Punia,

Pizzagalli

et al. 2024

Experimental and Clinical Psychopharmacology

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“…Dougherty et al ( 2013 ) reported increased BIS scores in current cannabis users as well, suggesting that these elevations are a robust characteristic in samples of cannabis users. Delibas et al ( 2018 ) found that the total BIS score and Non-Planning Impulsivity were elevated in former cannabis users, suggesting that these elevations were not due to recent use. Impulsivity was not correlated with measures of cannabis use, convergent with other evidence that impulsivity is primarily a risk factor rather than a consequence of substance use (Verdejo-García et al, 2008 ).…”

Section: Discussionmentioning

confidence: 99%

“…Delay Discounting and the IGT are often conceptualized as tasks which test cognitive mechanisms associated with impulsivity, although correlations between laboratory and self-report tasks are small in magnitude (Duckworth and Kern, 2011 ; Barnhart and Buelow, 2017 ; Ellingson et al, 2018 ; Creswell et al, 2019 ), suggesting that self-report impulsivity taps facets of impulsivity that are dissociable from laboratory task performance. BIS scores have been reported to be elevated in both current cannabis users (Dougherty et al, 2013 ) and in abstinent former users (Delibas et al, 2018 ). Among cannabis users, self-reported impulsivity predicted more frequent cannabis use (Vangsness et al, 2005 ).…”

Section: Introductionmentioning

confidence: 99%

Decision Making and Impulsivity in Young Adult Cannabis Users

et al. 2021

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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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Chronic cannabis use alters dACC-striatal glutamatergic balance

Chen¹,

Lukas²

2023

Pharmacology Biochemistry and Behavior

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Impulsivity, Sensation Seeking, and Decision-Making in Long-Term Abstinent Cannabis Dependent Patients

Cited by 6 publications

References 46 publications

Reward learning capacity in a community sample of individuals who use cannabis.

Reward learning capacity in a community sample of individuals who use cannabis.

Decision Making and Impulsivity in Young Adult Cannabis Users

Chronic cannabis use alters dACC-striatal glutamatergic balance

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