A role for dopamine D1-like receptors in acute food deprivation-induced reinstatement of heroin seeking in rats
Bibliographic record
Abstract
Dopamine has a critical role in drug reinforcement and the reinstatement of drug seeking due to priming or exposure to drug-associated cues. In contrast, the role of dopamine in stress-induced reinstatement is not clear. We have previously demonstrated that acute food deprivation, a clinically relevant stressor, reinstates heroin seeking in rats via a leptin-dependent mechanism. Recent reports have suggested a modulating role for leptin on dopamine transmission and drug-related behaviours. Thus, here we investigated the role of dopamine in acute food deprivation-induced reinstatement of heroin seeking. Rats were trained to self-administer heroin (0.05 mg/kg per infusion) for 10 d. Following training, heroin seeking was extinguished and rats were tested for 48-h food deprivation-induced reinstatement while pretreated with the dopamine D1-, D2-, or D3-like receptor antagonists: SCH 23390 (0.0, 5.0 or 10.0 microg/kg), raclopride (0.0, 50.0 or 100.0 microg/kg) or NGB 2904 (0.0, 0.1 or 5.0 mg/kg), respectively. The dopamine D1-like receptor antagonist, SCH 23390, but neither of the other antagonists, showed a dose-dependent attenuation of food deprivation-induced reinstatement. Our results suggest that acute food deprivation-induced reinstatement may be mediated, at least in part, by activation of the dopamine D1-like receptor.
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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 | 0.000 | 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".