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      Does ±3,4-methylenedioxymethamphetamine (ecstasy) induce subjective feelings of social connection in humans? A multilevel meta-analysis

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          Abstract

          3,4-Methylenedioxymethamphetamine (MDMA) is a psychostimulant known for producing positive subjective effects and for enhancing social functioning and social connection in both clinical and recreational settings. Over the past two decades, scientists have begun to study the psychological effects of MDMA through rigorous placebo-controlled experimental work. However, most existing studies have small Ns, and the average sizes of the reported effects are unknown, creating uncertainty about the impact of these findings. The goal of the present study was to quantify the strength of MDMA’s effects on self-reported social connection by aggregating sociability-related outcomes across multiple placebo-controlled studies. To this end, we conducted a multilevel meta-analysis based on 27 studies, 54 effect sizes, and a total of 592 participants. The results revealed a moderate-to-large effect ( d = 0.86; 95% CI [0.68, 1.04]; r = .39; 95% CI [.32, .46]) of MDMA on self-reported sociability-related outcomes (e.g., feeling loving, talkative, and friendly). Given the magnitude of its effect on felt sociability, we propose that MDMA may have powerful implications for a variety of social contexts and for clinical settings, in particular. Finally, we discuss potential mechanisms underlying the relationship between MDMA and sociability-related feelings, as well as future directions for experimental work in this area.

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          Most cited references71

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          RoB 2: a revised tool for assessing risk of bias in randomised trials

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            Operating characteristics of a rank correlation test for publication bias.

            An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the nature of the selection mechanism, the range of variances of the effect size estimates, and the true underlying effect size are all observed to be influential in determining the power of the test. The test is fairly powerful for large meta-analyses with 75 component studies, but has only moderate power for meta-analyses with 25 component studies. However, in many of the configurations in which there is low power, there is also relatively little bias in the summary effect size estimate. Nonetheless, the test must be interpreted with caution in small meta-analyses. In particular, bias cannot be ruled out if the test is not significant. The proposed technique has potential utility as an exploratory tool for meta-analysts, as a formal procedure to complement the funnel-graph.
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              The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 October 2021
                2021
                : 16
                : 10
                : e0258849
                Affiliations
                [1 ] Department of Psychology, University of California Riverside, Riverside, CA, United States of America
                [2 ] Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL, United States of America
                University of Texas at Austin, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-9780-0981
                Article
                PONE-D-21-10842
                10.1371/journal.pone.0258849
                8544845
                34695117
                7a2bbf67-24f9-44b0-8cf3-de4873c26d29
                © 2021 Regan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 April 2021
                : 6 October 2021
                Page count
                Figures: 3, Tables: 1, Pages: 18
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Metaanalysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Metaanalysis
                Medicine and Health Sciences
                Pharmacology
                Behavioral Pharmacology
                Recreational Drug Use
                Mdma
                Medicine and Health Sciences
                Pharmacology
                Drug Research and Development
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mental Health Therapies
                Biology and Life Sciences
                Psychology
                Emotions
                Social Sciences
                Psychology
                Emotions
                Medicine and Health Sciences
                Pharmacology
                Drug Interactions
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Clinical Psychology
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Clinical Psychology
                Social Sciences
                Psychology
                Cognitive Psychology
                Clinical Psychology
                Biology and Life Sciences
                Psychology
                Collective Human Behavior
                Interpersonal Relationships
                Social Sciences
                Psychology
                Collective Human Behavior
                Interpersonal Relationships
                Custom metadata
                All relevant data are available in the following OSF repository: tinyurl.com/4dcwezyz.

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