Cocaine-induced anxiety: alleviation by diazepam, but not buspirone, dimenhydrinate or diphenhydramine
Bibliographic record
Abstract
Clinical reports and animal experiments indicate that both cocaine administration and cocaine withdrawal increase anxiety. We investigated the ability of a number of putative anxiolytic agents to alleviate these anxiety states using the elevated plus-maze. Rats in the cocaine condition received either saline or cocaine (20 mg/kg) 40 min prior to testing; those in the withdrawal condition were tested 48 h following a chronic treatment regime (saline or cocaine 20 mg/kg per day for 14 days). Prior to testing, animals received a benzodiazepine (1.0 or 2.0 mg/kg diazepam), a serotonergic agonist (0.5 or 1.0 mg/kg buspirone), an antihistamine (50 mg/kg dimenhydrinate or 27 mg/kg diphenhydramine) or a saline injection. All drugs were administered intraperitoneally. Cocaine administration and cocaine withdrawal reduced the percentage time spent on and the number of entries into the open arms. Diazepam dose-dependently alleviated cocaine withdrawal-induced anxiety and non-significantly attenuated cocaine-induced anxiety. Buspirone, dimenhydrinate and diphenhydramine did not consistently alleviate the anxiety caused by either cocaine pre-treatment regime; in the saline conditions, however, each of these treatments was anxiogenic. In summary, benzodiazepines alleviated cocaine-induced anxiety, while future research on the ability of serotonergic and antihistaminergic drugs to alleviate these anxiety states is warranted.
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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) | 0.000 | 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) | 0.001 | 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".