Venlafaxine enhances the effect of bupropion on extracellular dopamine in rat frontal cortex
Bibliographic record
Abstract
Venlafaxine is recognised as an effective treatment for depression and is known to inhibit the reuptake of serotonin (5-HT) and noradrenaline (NA). Another antidepressant, bupropion, acts to inhibit dopamine (DA) and NA reuptake and is commonly co-administered with other antidepressants to improve the efficacy of the antidepressant effect. The present study was designed to investigate the acute effect of combining the 2 drugs on extracellular levels of 5-HT, DA, and NA in rat frontal cortex using brain microdialysis, with the drugs being administered by intraperitoneal injection (i.p). Bupropion (10 mg/kg body mass, i.p.) alone had no effect on extracellular 5-HT levels, whereas venlafaxine (10 mg/kg, i.p.) alone significantly elevated extracellular 5-HT over basal values. As expected, bupropion alone elevated extracellular dopamine above basal values at 40 min post-drug administration, and this effect lasted for a further 2 h. Venlafaxine alone did not statistically elevate extracellular dopamine. The co-administration of venlafaxine with bupropion resulted in a dramatic increase in extracellular dopamine, and this effect was significantly greater than that seen with bupropion alone. In the frontal cortex, NA was elevated by bupropion alone and venlafaxine alone, relative to the control animals. The combination of bupropion and venlafaxine resulted in a marked elevation of NA.
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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) | 0.000 | 0.000 |
| 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) | 0.002 | 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".