Next-Generation MDMA Analogue SDMA: Pharmacological and Metabolic Insights
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide 3,4-Methylenedioxymethamphetamine (MDMA), commonly known as ecstasy, shows promise in treating depression and post-traumatic stress disorder (PTSD), resulting in breakthrough status. However, concerns regarding MDMA’s abuse potential and cytotoxicity have sparked interest in developing safer analogues with similar therapeutic benefits. This study investigated the pharmacological properties of MDMA analogues in which the 1,3-benzodioxole group is replaced by a 1,3-benzoxathiole, termed SDA and SDMA, compared to MDA and MDMA through in silico, in vitro, and in vivo assays. In vitro experiments using human embryonic kidney (HEK293) cells examined the interactions with monoamine transporters. SDA and SDMA showed similar profiles to MDMA at the serotonin transporter (SERT), while both inhibited dopamine (DAT) and norepinephrine (NET) transporters more potently, in line with in silico molecular docking fitness scores of binding. SDA and SDMA also showed increased potency in evoking efflux through SERT and DAT acting as partial releasers. SDA and SDMA exhibited a similar interaction profile with 5-HT 2 receptors compared with their respective analogues. Metabolism studies revealed faster clearance rates for SDA and SDMA, in contrast to MDA and MDMA, which exhibited only weak degradation. In contrast to MDMA’s rewarding effects, SDMA did not induce significant effects in mice, while SDA only produced a significant preference for the drug-paired compartment at the lowest dose tested. Moreover, while SDMA shares similar locomotor and hyperthermic profiles as MDMA in mice, SDA induced increased hyperlocomotion and more sustained hyperthermia. In conclusion, these findings suggest that SDMA, with enhanced metabolic profiles and reduced abuse potential, is a promising candidate for further studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".