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:10.29399/npa.19304

Cited by 4 publications

(7 citation statements)

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“…In contrast, several studies have failed to find associations between CU and DM [38][39][40], and others suggest that these relationships may be nuanced. For instance, a cross-sectional study by Gonzalez et al [41] found that, although there were no differences in DM performance between young adult cannabis users and non-users, poorer DM was associated with a greater number of CUD symptoms.…”

Section: Introductionmentioning

confidence: 94%

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Risky decision‐making as an antecedent or consequence of adolescent cannabis use: findings from a 2‐year longitudinal study

et al. 2021

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Background and aims Although poor decision‐making (DM) has been correlated with problematic cannabis use (CU), cross‐sectional designs make it difficult to determine whether poor DM represents an antecedent and/or consequence of CU. The current study measured bidirectional associations between CU and DM among adolescents over 2 years and compared these findings to those observed with episodic memory, which is consistently reported as a consequence of CU. We also measured the role of DM as a risk factor for cannabis use disorder (CUD) onset. Design Two‐year longitudinal study with five bi‐annual assessments. Participants Participants were 401 adolescents aged 14–17 years at baseline. Setting Miami, Florida, USA. Measurements CU frequency and CUDs were assessed at each time‐point through the Drug Use History Questionnaire and Structured Clinical Interview for DSM‐IV, respectively. Neurocognition was assessed at odd time‐points throughout the Iowa Gambling Task, Game of Dice Task and Cups Task [decision‐making (DM)] and the Wechsler Memory Scale IV and California Verbal Learning Test II (episodic memory). We used latent growth curve modeling to examine bidirectional influences between CU and neurocognition over time. We applied discrete time survival analyses to determine whether baseline DM predicted CUD onset. Findings Greater lifetime CU frequency was associated with poorer episodic memory at baseline (bs = −14.84, −16.44, Ps = 0.038, 0.021). Greater CU escalation predicted lesser gains in immediate episodic memory (b = −0.05, P = 0.020). Baseline DM did not predict CU escalation (b = 0.07, P = 0.421), nor did escalation in CU predict changes in DM (b = 0.02, P = 0.352). Baseline DM also did not predict CUD onset (adjusted OR = 1.01, 95% confidence interval = 0.98–1.06). Conclusions This study replicates findings that poorer episodic memory in adolescents appears to be a consequence of cannabis use, even among adolescents at earlier stages of use. Poor decision‐making does not appear to be either a consequence of or a risk factor for escalating cannabis use or onset of cannabis use disorder among adolescents.

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Section: Introductionmentioning

confidence: 94%

“…In contrast, several studies have failed to find associations between CU and DM [38–40], and others suggest that these relationships may be nuanced. For instance, a cross‐sectional study by Gonzalez et al .…”

Section: Introductionmentioning

confidence: 99%

Risky decision‐making as an antecedent or consequence of adolescent cannabis use: findings from a 2‐year longitudinal study

et al. 2021

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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: 90%

“…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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“…The high sensation-seeking trait impairs the sensitivity to recurring losses or adverse outcomes and degrades performance [ 12 ]. Delibas et al [ 13 ] reported the negative impact of high sensation-seeking in clinical patients but also cautioned about interpreting it as a deficit in decision-making.…”

Section: Introductionmentioning

confidence: 99%

The effect of an affect, sensation seeking, and premeditation on risky decision-making: Conditional process analysis

Verma

Chivukula

2023

PLoS ONE

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Risks often accompany available choices in decision-making, particularly where the monetary factor gets involved. Researchers have explored the pathways underlying risky decision-making for decades, but most of these pathways have explored the factors individually rather than through a holistic approach. The present study examines the role of personality, cognitive, and biological components in risky decision-making. Here, the Iowa Gambling Task (IGT) paradigm is used to study the targeted outcome variable (IGT payoff) in 281 healthy students. Two moderation-mediation models hypothesized sensation seeking and lack of premeditation as predictors of IGT payoff. Positive and negative moods prior to IGT administration were considered mediators, and age and gender as moderators in predicting payoff. The hypothesized models were tested using conditional process analysis. Results indicate that both predictors significantly negatively predict payoff while moderated by gender and age categories. Interestingly, the indirect relationships apply to 21–34 years old men and 21–25 years old women. These age and gender-specific findings in apparently healthy participants highlight the need for replicating the current research in different age groups and clinical populations involving maladaptive decision-making patterns.

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Impulsivity, sensation seeking, and decision-making in long-term abstinent cannabis dependent patients

Cited by 4 publications

References 0 publications

Risky decision‐making as an antecedent or consequence of adolescent cannabis use: findings from a 2‐year longitudinal study

Risky decision‐making as an antecedent or consequence of adolescent cannabis use: findings from a 2‐year longitudinal study

Decision Making and Impulsivity in Young Adult Cannabis Users

The effect of an affect, sensation seeking, and premeditation on risky decision-making: Conditional process analysis

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