Catecholaminergic Strategies for the Treatment of Major Depression
Bibliographic record
Abstract
Although the selective serotonin reuptake inhibitors have become the first line medications for the treatment of depression, drugs primarily targeting the norepinephrine (NE) and/or the dopamine catecholaminergic systems are also effective. These include selective NE reuptake inhibitors, such as desipramine and reboxetine, the NE releaser bupropion and the alpha2-adrenergic antagonists mianserin and mirtazapine. Dopamine type 2 agonists are also effective in treating depression, although they are rarely used. Since the NE, dopamine and serotonin systems have reciprocal interactions, it is virtually impossible to act on a specific neuronal element without affecting in a cascade effect the two other systems. In this review, the primary actions of the catecholaminergic strategies upon their acute and long-term administration are described, as well as their impact on other systems. Their use in treatment-resistant depressed patients is also addressed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".