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Record W4410974136 · doi:10.1038/s41591-025-03685-9

An international Delphi consensus for reporting of setting in psychedelic clinical trials

2025· article· en· W4410974136 on OpenAlexaff
Chloé Pronovost-Morgan, Kyle T. Greenway, Leor Roseman, Jacob S. Aday, Gabrielle Agin-Liebes, Kirran Ahmad, Helena Aicher, Marc Aixalà, Simon Amar, Dráulio Barros de Araújo, Frederick S. Barrett, Alexander Belser, Marc G. Blainey, R.W. Bowman, Joost J. Breeksema, Kayla Breelove Carter, Jacqueline Bussey, Nicholas K. Canby, Jimena Chalchi, James Close, Pedram Daraeizadeh, Alan K. Davis, Sara de la Salle, Neşe Devenot, Erika Dyck, David Erritzøe, Houman Farzin, Phoebe Friesen, Nicolas Garel, Josephine Giblin, Tasha L. Golden, George Greer, Natalie Gukasyan, Jeffrey Guss, Emma Hapke, Ido Hartogsohn, Friederike Holze, Hannes Kettner, Adam Knowles, Nicolas Langlitz, Alexandre Lehmann, Michael Lifshitz, Philippe Lucas, Katherine A. MacLean, Orla Mallon, Olivia Marcus, Jerónimo Mazarrasa, Rosalind McAlpine, Francisco Moreno, Logan Neitzke‐Spruill, Tehseen Noorani, Peter Oehen, Genís Oña, Fernanda Palhano-Fontes, Ryan Patchett-Marble, Gail Peekeekoot, Daniel Perkins, Katrin H. Preller, Johannes G. Ramaekers, Sara Reed, Dimitris Repantis, Brian D. Richards, William A. Richards, Sally Risby, Jessica Rochester, Ian Roullier, James Rucker, Simon Ruffell, James W. Sanders, L. Schneider, Thomas Shutte, Balázs Szigeti, Sayali Tadwalkar, Julien Thibault Lévesque, Christopher Timmermann, Keren Tzarfaty, H. Bradley Wells, Keith Williams

Bibliographic record

VenueNature Medicine · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsHôtel-Dieu de MontréalNOSM UniversityCanadian Armed ForcesUniversité de MontréalUniversity of SaskatchewanVancouver Island UniversityInternational Laboratory for Brain, Music and Sound ResearchToronto Western HospitalUniversity Health NetworkAthabasca UniversityMcGill University Health CentreMcGill UniversityJewish General Hospital
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute on Drug AbuseU.S. Department of Health and Human ServicesNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungKing's College LondonNational Science FoundationImperial College LondonBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchMind and Life InstituteStrongFoundation for the National Institutes of Health
KeywordsDelphiClinical trialDelphi methodMEDLINEMedicinePsychologyPolitical scienceComputer scienceInternal medicineArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

Psychedelic substances exhibit complex interactions with the 'set and setting' of use, that is, the mental state of the user and the environment in which a psychedelic experience takes place. Despite these contextual variables' known importance, psychedelic research has lacked methodological rigor in reporting extra-pharmacological factors. This study aimed to generate consensus-based guidelines for reporting settings in psychedelic clinical research, according to an international group of psychedelic researchers, clinicians and past trial participants. We conducted a Delphi consensus study composed of four iterative rounds of quasi-anonymous online surveys. A total of 89 experts from 17 countries independently listed potentially important psychedelic setting variables. There were 770 responses, synthesized into 49 distinct items that were subsequently rated, debated and refined. The process yielded 30 extra-pharmacological variables reaching predefined consensus ratings:i.e., 'important' or 'very important' for ≥70% of experts. These items compose the Reporting of Setting in Psychedelic Clinical Trials (ReSPCT) guidelines, categorized into physical environment, dosing session procedure, therapeutic framework and protocol, and subjective experiences. Emergent findings reveal significant ambiguities in current conceptualizations of set and setting. The ReSPCT guidelines and accompanying explanatory document provide a new standard for the design and documentation of extra-pharmacological variables in psychedelic clinical research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.255
GPT teacher head0.641
Teacher spread0.386 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations23
Published2025
Admission routes1
Has abstractyes

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