Prospective memory impairment in abstinent MDMA ("Ecstasy") users
Bibliographic record
Abstract
Introduction: Quantitative evidence has begun to emerge where human studies suggest that repeated recreational use of +/- 3,4-methylenedioxy-methamphetamine (MDMA or "Ecstasy") produces lasting impairments in explicit memory. The purpose of this investigation was to further explore the nature and pattern of component memory processes in abstinent MDMA users. Methods: Accordingly, 15 MDMA users and 17 matched normal controls completed a brief neuropsychological test battery composed mainly of the Rivermead Behavioural Memory Test (RBMT), a Stem-Completion task, and the Vocabulary subtest of the Wechsler Adult Intelligence Scale-III (WAIS-III). Results: MDMA users were found impaired in terms of episodic prospective memory, as medium to large effects were observed between groups on time-based Appointment and event-based Message subtests of the RBMT. The results of this study also indicate that the ability to recall a future appointment may be related to the frequency of MDMA use and the absolute number of times MDMA was used. Conclusion: Further research is warranted into the underlying neurological manifestations of such deficits, such as investigating the relation between the neurotransmitter serotonin and the component processes of memory.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".