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Decision-making in polydrug amphetamine-type stimulant users: an fMRI study.

ABSTRACT: Qualitative poor decision-making and associated altered neuronal activation patterns have been described for the users of several drugs, amongst others for stimulants like amphetamine and MDMA. Deficits in decision-making might be caused by an augmented attraction to short-term rewarding properties despite negative long-term consequences, leading to rigid stimulus-response patterns. In the present imaging study, we investigated decision-making and associated neuronal activation in three groups differing in their exposure to amphetamine and MDMA. An established paradigm on risky choices was used to evaluate decision-making performance and corresponding functional magnet resonance imaging (fMRI) activation. Subjects could choose between a low-risk control gamble and an experimental gamble, which always differed in the probability of winning or losing, as well as the magnitudes of monetary gain or loss. Experienced users (EU), users with low exposure to stimulants and drug-naive controls, did not differ from each other in behavioral performance. In accordance with our hypotheses, the anticipation of reward led to an activation of primarily the frontal cortex and the striatum in low-exposure users and drug-naive controls. In contrast, frontal and parietal activation was observed in all groups when the actual outcome of an experimental gamble was presented. EU displayed more activation compared to both control groups when there was a high probability of winning. The study at hand supports the hypothesis that neuronal activation patterns might even differ between drug users and healthy controls when no behavioral deficits are apparent. In EU, the probability of the occurrence of an event has more influence on neuronal activation than on the actual magnitude of reinforcing properties of this event.

SUBMITTER: Koester P

PROVIDER: S-EPMC3682139 | biostudies-other | 2013 Jul

REPOSITORIES: biostudies-other

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Project description:Introduction: Amphetamine-type stimulants (ATS) use is a global concern due to increased usage and the harm to physical, mental, and social well-being. The objective of this overview of systematic reviews is to summarise trial results of psychosocial interventions and describe their efficacy and safety. Methods: We searched seven bibliographic databases to November 2020 for systematic reviews examining ATS misuse treatment by psychosocial interventions. Given the apparent incompleteness of the included reviews, we undertook a supplemental meta-analysis of all eligible primary studies. Results: We included 11 systematic reviews of moderate to high quality and 39 primary studies which assessed the outcomes of psychosocial interventions on people who use ATS. The key findings include: (1) There were conflicting results about the effectiveness of psychosocial interventions among reviews, which may confuse decision-makers in selecting treatment. (2) In the supplemental meta-analysis, relative to usual care (only counselling or self-help materials), membership of a psychological intervention group was associated with an important reduction in drug usage [risk ratio (RR) 0.80, 95% CI: 0.75 to 0.85]. Patients in psychological interventions used injectables substantially less [odds ratio (OR) 0.35, 95% CI: 0.24 to 0.49]. The risk of unsafe sex in the psychosocial intervention group was lower than in the control group (RR 0.49, 95% CI: 0.34 to 0.71). The combination of therapies reduced 1.51 day using drugs in the preceding 30 days (95% CI: -2.36 to -0.67) compared to cognitive behavioural therapy intervention alone. (3) Compared to usual care, cognitive behavioural therapy was less likely to be retained at follow-up (RR 0.89, 95% CI: 0.82 to 0.97; high-quality evidence). However, the additional of contingency management strategy can make an important improvement upon retention (RR 1.42, 95%CI: 1.25 to 1.62). Authors' Conclusions: Integrated models are more effective than a single-treatment strategy. Comprehensive and sustained psychosocial interventions can help to reduce use of ATS and other drugs, risk behaviours and mental disorders, and significantly improve treatment adherence.

Project description: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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Decision-making in polydrug amphetamine-type stimulant users: an fMRI study.

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