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Record W4411691379 · doi:10.26434/chemrxiv-2025-grxh4

We licked the frogs so you don’t have to: A comprehensive history and analysis of the chemical syntheses of the classical psychedelics Bufotenin(e) and 5-methoxy-N,N-dimethyltryptamine

2025· preprint· en· W4411691379 on OpenAlexafffund
Anton A. Homon, Jaxon Laramie, John J. Hayward, John F. Trant

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsPsychologyArtAesthetics

Abstract

fetched live from OpenAlex

Bufotenin (also spelt as bufotenine) and its methylated derivative, 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) are potent psychedelics (although the activity of the former is attenuated due to its low propensity to cross the blood-brain-barrier) that are found in many plants but also excreted by specific species of toads. The compounds are regulated differently around the world, and although they have been used in traditional medicine, 20th century prohibition culture has slowed research into their utility for ameliorating psychological disorders and inflammatory & neurodegenerative diseases. However, the global trend towards legalization and a renewed interest in the therapeutic potential of psychedelics has increased the number of clinical and preclinical studies of these and related materials. This necessitates access to large amounts of these compounds, but they are not commercially available on scale. This leaves researchers with a need to either contract for, or make their own, bufotenin. The first synthesis was reported in 1935 by Hoshino and coworkers, and novel syntheses are still being disclosed in the 2020s. This is the first effort to collate and compare all extant academic and patent syntheses (as of fall 2024) into a single review so that researchers can identify the most appropriate route for their own purposes. We conclude by highlighting outstanding challenges that are ripe for solutions to reduce the cost of any future commercial-scale production.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
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 head0.056
GPT teacher head0.331
Teacher spread0.275 · 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 designNot applicable
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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