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Psychedelics as Psychiatric Medications

2023· book· en· W4361263761 on OpenAlexaff
David Nutt, David Castle

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsilocybinPsychiatryHallucinogenAddictionPsychotherapistContext (archaeology)PsychologyAnxietyMDMADistressAyahuascaMedicine

Abstract

fetched live from OpenAlex

Abstract There is substantial contemporary interest in psychedelic agents as medicines for maladies of the mind. This follows research in the 1950s and 1960s exploring the use of LSD and other psychedelics to treat a range of psychiatric illnesses as well as addictions. This research was shut down after prohibition of these drugs; however, the last decade has seen a major renewal of interest in the therapeutic use of psychedelics and related drugs in psychiatry. Part of the Oxford Psychiatry Library series, this book provides an overview of this hugely exciting field, covering the history of psychedelics, clinical aspects, risks and side effects, precautions, and processes. Psilocybin (found in ‘magic mushrooms’) has been used effectively for amelioration of distress in people with depression and anxiety in the context of potentially life-ending cancers. MDMA (‘ecstasy’) has shown efficacy for severe posttraumatic stress disorder, with enduring benefit. Other psychedelics, both plant-derived (e.g. ayahuasca) and synthetically produced (e.g. LSD) are also being investigated for their potential therapeutic value. These agents not only herald a new neurobiology but also allow an integration of psychotherapy with biological compounds that is truly novel and that challenges established psychiatric practice. Further, the action of these agents on the brain allows an exploration of how the brain works to ‘open up’ to psychotherapeutic healing. This book will appeal to clinicians in mental health and addictions, policy makers and neuroscientists; to pharmacists and pharmacologists; and to the general public.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.204
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.089

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 head0.047
GPT teacher head0.386
Teacher spread0.338 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2023
Admission routes1
Has abstractyes

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