ArticleAddiction biology2023
Rapid appearance of negative emotion during oral fentanyl self-administration in male and female rats.
Article in Addiction biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 18 citations in OpenAlex.
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- Interrogating roles for VTA dopamine neurons in locomotion and ultrasonic vocalizations elicited by different classes of rewarding drugs.Psychopharmacology · 2026Article
- Stars2Cells: Astrometric Tracking of Neurons Across Imaging Sessions.bioRxiv : the preprint server for biology · 2026Article
- Transcriptional Response to Chronic Long-Access Fentanyl Self-Administration in Rat Habenula and Amygdala.Addiction biology · 2026Article
- Uncovering phenotypic diversity and cell-type-specific prefrontal cortex calcium dynamics in rat fentanyl self-administration.bioRxiv : the preprint server for biology · 2026Article
- Fentanyl reinforcement history has sex-specific effects on multi-step decision-making.Neuropharmacology · 2026Article
- Preclinical abuse potential testing using behavioral economics and drug self-administration demand-curve analysis: A strategy to improve resolution of drug stratification for regulatory control.Pharmacological reviews · 2026Review
- Transcriptional response to chronic long-access fentanyl self-administration in rat habenula and amygdala.bioRxiv : the preprint server for biology · 2025Article
- Recruitment of specific dopamine neuron sub-circuits by opioids.Addiction neuroscience · 2025Article
- Escalation of intravenous fentanyl self-administration and assessment of withdrawal behavior in male and female mice.Psychopharmacology · 2025Article
- Fentanyl demand and seeking in female rats: Role of the orexin system and estrous cycle.Addiction neuroscience · 2024Article
- Oral fentanyl consumption and withdrawal impairs fear extinction learning and enhances basolateral amygdala principal neuron excitatory-inhibitory balance in male and female mice.Addiction neuroscience · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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Abstract
Opioid use disorder has become an epidemic in the United States, fuelled by the widespread availability of fentanyl, which produces rapid and intense euphoria followed by severe withdrawal and emotional distress. We developed a new preclinical model of fentanyl seeking in outbred male and female rats using volitional oral self-administration (SA) that can be readily applied in labs without intravascular access. Using a traditional two-lever operant procedure, rats learned to take oral fentanyl vigorously, escalated intake across sessions, and readily reinstated responding to conditioned cues after extinction. Oral SA also revealed individual and sex differences that are essential to studying substance use risk propensity. During a behavioural economics task, rats displayed inelastic demand curves and maintained stable intake across a wide range of fentanyl concentrations. Oral SA was also neatly patterned, with distinct 'loading' and 'maintenance' phases of responding within each session. Using our software DeepSqueak, we analysed ultrasonic vocalizations (USVs), which are innate expressions of current emotional state in rats. Rats produced 50 kHz USVs during loading then shifted quickly to 22 kHz calls despite ongoing maintenance of oral fentanyl taking, reflecting a transition to negative reinforcement. Using fibre photometry, we found that the lateral habenula differentially processed drug cues and drug consumption depending on affective state, with potentiated modulation by drug cues and consumption during the negative affective maintenance phase. Together, these results indicate a rapid progression from positive to negative reinforcement occurs even within an active drug taking session, revealing a within-session opponent process.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.