The ‘Dalhousie Serotonin cocktail’ for treatment-resistant major depressive disorder
Bibliographic record
Abstract
We describe the successful treatment of five patients with treatment-resistant major depressive disorder (TR-MDD) with a combination pharmacotherapy of pindolol, tryptophan and nefazodone. Five TR-MDD outpatients who had previously not responded to at least four different antidepressant medication trials were initiated on 300 mg/day of nefazodone, 7.5 mg/day of pindolol and 1 g/day of tryptophan. Pindolol doses remained the same throughout the 20 weeks, while tryptophan and nefazodone dosages were gradually increased to 8 g/day and 450 mg/day, respectively. The Hamilton Depression Rating Scale (HAM-D) was used to evaluate outcome. By week 4, all cases demonstrated at least 50% decrease in HAM-D scores. At the end of the trial, the group mean HAM-D score had significantly decreased from 26.8 (+/- 1.9) to 1.8 (+/- 0.8) (p < 0.001). No significant adverse effects were reported. These results suggest that if serotonin availability and release is further enhanced by tryptophan in the presence of nefazodone and pindolol, an antidepressant effect may be produced in patients who are otherwise treatment-resistant. Due to limited sample size, an open design and an 'unusually' high successful efficacy rate of this preliminary study, controlled studies are required to confirm the efficacy of this treatment strategy.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 0.001 |
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.
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".