Concurrent Exposure to Methamphetamine and Sexual Behavior Enhances Subsequent Drug Reward and Causes Compulsive Sexual Behavior in Male Rats
Bibliographic record
Abstract
Methamphetamine (Meth) users report having heightened sexual pleasure, numerous sexual partners, and engaging in unprotected sex due to loss of inhibitory control. This compulsive sexual behavior contributes to increased prevalence of sexually transmitted infections, but the neural basis for this is unknown. We previously established a paradigm for compulsive sexual behavior in male rats in which visceral illness induced by lithium chloride was paired with sexual behavior (Davis et al., 2010; Frohmader et al., 2010a). The current study examined the effects of repeated Meth administration on sexual performance, compulsive sexual behavior, and sex or Meth reward. First, results demonstrated that seven daily administrations of 2 mg/kg, but not 1 mg/kg, Meth increased latencies to initiate mating. This impairment was evident 30 min after last Meth administration, but dissipated after 1 or 7 d of subsequent drug abstinence. Repeated 1 mg/kg Meth exposure resulted in compulsive sex-seeking behavior 2 weeks following last Meth administration. This effect was dependent on Meth administration being concurrent with sexual experience and was not observed in sexually experienced animals that received Meth alone. Moreover, concurrent Meth and sexual experience enhanced conditioned place preference (CPP) for Meth, and for concurrent Meth and mating compared with Meth or mating alone. In contrast, CPP for mating alone was decreased. Together, these data indicate that the association between drug use and mating may be required for expression of compulsive sexual behavior and is correlated with increased reward seeking for concurrent Meth exposure and mating.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.002 |
| 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".