Orally Administered N-Oleoyl Alanine Blocks Acute Opioid Withdrawal Induced-Conditioned Place Preference and Attenuates Somatic Withdrawal following Chronic Opioid Exposure in Rats
Bibliographic record
Abstract
(1) Background: Intraperitoneal injections of the endogenous N-acyl amino acid N-Oleoyl alanine (OlAla) effectively reduces both the affective and somatic responses produced by opioid withdrawal in preclinical models. To increase the translational appeal of OlAla in clinical drug applications, the current experiments tested whether oral OlAla pretreatment also attenuates opioid withdrawal in rats. (2) Methods: In Experiment 1, to assess its impact on affective withdrawal behavior, OlAla (0, 5, 20 mg/kg) was orally administered during the conditioning phase of an acute naloxone-precipitated morphine withdrawal conditioned place avoidance task. In Experiment 2, to assess its impact on somatic withdrawal behavior, OlAla (5–80 mg/kg) was orally administered prior to naloxone-precipitated withdrawal from chronic heroin exposure. (3) Results: Pretreatment with oral OlAla at the higher (20 mg/kg), but not lower (5 mg/kg) dose, reduced the establishment of an acute morphine withdrawal-induced conditioned place aversion. Instead, the lower dose of oral OlAla (5 mg/kg) reduced heroin withdrawal-induced abdominal contractions and diarrhea, whereas higher doses were without effect. (4) Conclusions: The results suggest a dose-dependent reduction of opioid withdrawal responses by orally administered OlAla, and further highlight the potential utility of this compound for opioid withdrawal in clinical populations.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".