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Record W3015163151 · doi:10.1089/jpm.2019.0603

Defining the Roles and Research Priorities for Psychedelic-Assisted Therapies in Patients with Serious Illness: Expert Clinicians' and Investigators' Perspectives

2020· article· en· W3015163151 on OpenAlex
Yvan Beaussant, Justin J. Sanders, Zachary Sager, James A. Tulsky, Ilana M. Braun, Craig D. Blinderman, Anthony P. Bossis, Ira Byock

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Palliative Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialMedicineThematic analysisDistressQualitative researchAnxietyPopulationPsychiatryPsychotherapistClinical psychologyPsychology

Abstract

fetched live from OpenAlex

Background: Recent and preprohibition studies show that patients with serious illness might benefit from psychedelic-assisted therapies for a range of symptoms, physical, psychosocial, and existential. Objective: To explore the potential roles and research priorities of these therapies in patients with serious illness. Design, Setting, and Participants: Qualitative study based on semistructured interviews with 17 experts in serious illness care and/or psychedelic research from the United States and Canada. Measurements: The interview guide elicited participants' perspectives on (1) the potential roles of psychedelic-assisted therapies in this setting, (2) research priorities relevant to this population, and (3) the potential for integrating psychedelic-assisted therapies into existing delivery models of serious illness care. We used thematic analysis until thematic saturation. Results: Domain I: Participants had polar views on the therapeutic potential of psychedelic-assisted therapies, ranging from strong beliefs in their medical utility to reluctance about their use in this patient population. They shared concerns related to the risks of adverse effects, such as delirium or worsening of psychological distress. Domain II: Research priorities primarily concerned patients with clinically diagnosed psychosocial distress, such as depression, anxiety, or demoralization. Participants also articulated potential roles extending beyond traditional medical diagnosis. Domain III: Participants emphasized essential safety and efficacy guidelines relevant to the integration of these therapies into existing models of care. Conclusion: This qualitative study highlights issues and priorities for research on psychedelic-assisted therapies in patients with serious illness and proposes a conceptual framework for integrating these therapies into existing delivery models of serious illness care.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.427
Teacher spread0.337 · 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