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Record W4415622018 · doi:10.1177/07067437251389090

Ketamine, Psychedelics, and Psychotherapy: Reframing, Redefining, Renaming Treatment Models

2025· article· en· W4415622018 on OpenAlexaffvenue
Jennifer Swainson, Elisa Brietzke, Atul Khullar, Roger S. McIntyre, Cláudio N. Soares

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of TorontoKingston Health Sciences CentreQueen's UniversityProvidence Health CareWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsCLARITYPsychoeducationVariety (cybernetics)Intervention (counseling)AnxietyPharmacotherapyMEDLINE

Abstract

fetched live from OpenAlex

There has been a renewed interest in the use of various psychedelic agents as potential therapies for multiple psychiatric conditions, including post-traumatic stress disorder (PTSD), major depressive disorder (MDD), generalized anxiety disorder (GAD), to name a few. This follows the recent accumulation of evidence for ketamine pharmacotherapy and a rapid proliferation of clinics/programs offering a variety of ketamine based treatments. A quick glance at the existing evidence, however, reveals a confusing scenario for patients, healthcare providers, and regulators. Overall, there are no standard definitions of what constitutes a psychotherapeutic intervention within a psychedelic-based or a ketamine-based treatment. More specifically, studies have not always distinguished between using a well-known, manualized psychotherapy, providing psychoeducation and psychological support, or providing a therapy specifically to integrate the drug experience in psychedelic trials. Also, it is difficult to determine the role of the psychedelic agent as a stand-alone treatment, and the relative importance (if any) of the psychedelic experience for the desired therapeutic effect. In this perspective, we discuss the evolving landscape of psychedelic-based and ketamine-based treatments, highlighting different therapeutic models, their methodologies, and the need for clearer definitions and rigorous clinical trials. The document proposes three new definitions to improve clarity in evaluating the effects of these agents and the role of psychotherapies. We suggest language that will distinguish: (1) when the drug is used for its pharmacologic effects as a stand-alone treatment, without requiring the psychedelic experience or combined psychotherapy; (2) when the treatment requires the acute psychological effects of the drug to assist psychotherapy and (3) When ketamine or a psychedelic agent is used in combination with a structured, manualized psychotherapy that could be implemented even in the absence of these agents. We hope that this new terminology and definitions will help distinguish the various therapeutic roles of these agents (as stand-alone treatments or in combination with psychotherapies), and facilitate study designs, regulatory pathways, and more informed patient care.Plain Language Summary TitleKetamine, Psychedelics, and Psychotherapy: Understanding treatment models to better inform practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.029
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.003
Science and technology studies0.0030.047
Scholarly communication0.0150.029
Open science0.0060.010
Research integrity0.0080.029
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.310
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes2
Has abstractyes

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