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An Exploration of the History and Controversies Surrounding MDMA and MDA

2001· review· en· W1970393223 on OpenAlexaff
Alana Rae. Pentney

Bibliographic record

VenueJournal of Psychoactive Drugs · 2001
Typereview
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMDMAEcstasyReputationEnforcementPharmacologyCriminologyMedicinePsychologyPsychiatryLawPolitical science

Abstract

fetched live from OpenAlex

In existence for nearly a century, 3,4-methylenedioxyamphetamine (MDA) and 3,4-methylenedioxymethamphetamine (MDMA, "Ecstasy") have gained quite a reputation. Perceived by some as dangerous neurotoxins, and by others as potential psychotherapeutics, these compounds have become a center of controversy among academics and law enforcement officials, and in the process have gained extensive media exposure. The classification of these drugs as illicit, controlled substances in the United States has not prevented their use, and MDMA, or Ecstasy, is currently one of the most popular substances used recreationally in North America. The scheduling of MDMA and MDA has, however, led to the distribution of contaminated, or falsely represented, Ecstasy tablets, and prevented responsible research into the detrimental and therapeutic effects of these drugs. A look at the history of these compounds suggests that they have the potential to be used safely as psychotherapeutic tools, and that the legal status of MDMA and MDA may be worth reconsidering.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.007
Science and technology studies0.0010.003
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.131
GPT teacher head0.408
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations94
Published2001
Admission routes1
Has abstractyes

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