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Mindfulness-based treatment of addiction: current state of the field and envisioning the next wave of research.

Eric L Garland, Matthew O Howard

Addiction Science & Clinical Practice April 18, 2018 DOI: 10.1186/s13722-018-0115-3 (opens in new tab)

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AI-extracted from the abstract
Characteristics Review Peer reviewed
Intervention Mindfulness-based interventions (MBIs)
Topics Addiction Meditation
Keywords Automaticity Dissemination Dose–response Reward Smart
Key findings The authors conclude that mindfulness-based interventions show promise for reducing substance misuse and craving, reportedly by modulating cognitive, affective, and psychophysiological processes tied to self-regulation and reward processing. They argue that efficacy is not yet firmly established and recommend further research on treatment optimization, dissemination, dose-response relationships, and research rigor.

Abstract

Contemporary advances in addiction neuroscience have paralleled increasing interest in the ancient mental training practice of mindfulness meditation as a potential therapy for addiction. In the past decade, mindfulness-based interventions (MBIs) have been studied as a treatment for an array addictive behaviors, including drinking, smoking, opioid misuse, and use of illicit substances like cocaine and heroin. This article reviews current research evaluating MBIs as a treatment for addiction, with a focus on findings pertaining to clinical outcomes and biobehavioral mechanisms. Studies indicate that MBIs reduce substance misuse and craving by modulating cognitive, affective, and psychophysiological processes integral to self-regulation and reward processing. This integrative review provides the basis for manifold recommendations regarding the next wave of research needed to firmly establish the efficacy of MBIs and elucidate the mechanistic pathways by which these therapies ameliorate addiction. Issues pertaining to MBI treatment optimization and sequencing, dissemination and implementation, dose-response relationships, and research rigor and reproducibility are discussed.

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