Dark loops: contagion effects, consistency and chemosocial matrices in psychedelic-assisted therapy trials
The paper argues that psychedelic-assisted therapy trials generate chemosocial networks — "dark loops" of unmeasured social contagion and movement-driven hype arising from shared drug exposure — which breach standard causal‑inference assumptions and complicate interpretation of trial efficacy. It proposes three researcher responses: chemosocial minimisation, chemosocial description and chemosocial valorisation.
Authors
- Suresh Muthukumaraswamy
- Gillinder Bedi
Published
Abstract
What happens when an emerging programme of medical research overlaps with a surging social movement? In this article we draw on the anthropological term ‘chemosociality’ to describe forms of sociality born of shared chemical exposure. Psychedelic administration in the context of recent clinical trials appears to have been particularly chemosocial in nature. We argue that one consequence is that psychedelic-assisted therapy (PAT) clinical research trials tend to breach key assumptions underlying the logic of causal inference used to establish efficacy. We propose the concept of dark loops to describe forms of sociality variously emerging from, and impacting participant experiences in, PAT trials. These dark loops are not recorded, let alone incorporated into the causal pathways in the interpretation of psychedelic trial data to date. We end with three positions which researchers might adopt in response to these issues: chemosocial minimisation where research is designed to attenuate or eliminate the effects of dark loops in trials; chemosocial description where dark loops (and their impacts) are openly and candidly documented and chemosocial valorisation where dark loops are hypothesised to contribute to trial outcomes and actively drawn upon for positive effect. Our goal is to fold in an appreciation of how the increasingly-discussed hype surrounding psychedelic research and therapeutics continues to shape the phenomena under study in complex ways, even as trials become larger and more rigorous in their design.
Research Summary of 'Dark loops: contagion effects, consistency and chemosocial matrices in psychedelic-assisted therapy trials'
Introduction
The paper situates itself in the recent revival of clinical research into psychedelic-assisted therapy (PAT), noting a rapid increase in trials and a concurrent rise in public hype and social movements around psychedelics. Earlier research has established promising clinical signals for indications such as depression, PTSD, anxiety in terminal illness and substance use disorders, but the authors argue that growing public enthusiasm, media coverage and participant networks risk reshaping the interventions and the conditions under which trial results are produced. Noorani and colleagues set out to formalise how these social dynamics interact with the logic of causal inference used in randomised controlled trials (RCTs). They introduce the anthropological concept of chemosociality—social bonds emerging from shared chemical exposure—and propose the term "dark loops" for feedback structures that form between trials, participants, communities and media, which are largely unmeasured in existing analyses. The paper focuses on PAT trials that combine psychedelic administration (MDMA and classical hallucinogens) with psychotherapy, explains how these phenomena can breach key causal assumptions (especially components of the Standard Unit Treatment Value Assumption, SUTVA), and offers three strategic responses researchers might adopt: chemosocial minimisation, chemosocial description and chemosocial valorisation. The authors exclude most ketamine trials on the basis that many lack an explicit psychotherapy component and therefore differ in protocol from PAT trials.
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Noorani, T., Bedi, G., & Muthukumaraswamy, S. (2023). Dark loops: contagion effects, consistency and chemosocial matrices in psychedelic-assisted therapy trials. Psychological Medicine, 53(13), 5892-5901. https://doi.org/10.1017/S0033291723001289
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