Esmethadone (REL-1017) in Patients With Major Depressive Disorder and Antidepressant Tachyphylaxis
Bibliographic record
Abstract
Antidepressant tolerance/ tachyphylaxis (AT) is defined as initial response (≥ 50% improvement) to antidepressant treatment followed by relapse while on the same adequate dose. The impact of AT as prognostic indicator for response to subsequent antidepressant treatment is unknown. To test the efficacy of esmethadone (REL-1017) in a subgroup of patients with major depressive disorder (MDD) and AT. A phase 3, double-blind, randomized, placebo-controlled trial of esmethadone was conducted in adult outpatients with MDD. Prior to randomization, AT was independently assessed by clinicians from the Massachusetts General Hospital Clinical Trials Network and Institute using the MGH Antidepressant Treatment Response Questionnaire. Data for the primary efficacy end point were analyzed using mean difference in Montgomery-Åsberg Depression Rating Scale (MADRS) total score from baseline to primary end point (Day 28) in the AT subgroup from the intent to treat (ITT) population, the per-protocol (PP) population, and in patients with severe depression (baseline MADRS ≥35). =.0004). Consistent results were seen in the PP population with AT and in the severely depressed subgroup of patients with AT. These post hoc analyses, based on data collected independently pre-randomization, suggest that esmethadone may be an effective adjunctive treatment for patients with AT. These results need to be confirmed in larger prospective clinical trials.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".