ReviewDrug and alcohol dependence2021
Behavioral predictors of individual differences in opioid addiction vulnerability as measured using i.v. self-administration in rats.
Review in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Paradoxical role of the mesocorticolimbic Netrin1-DCC pathway in social competition and vulnerability to methamphetamine abuse during adolescence.Molecular psychiatry · 2026Article
- Paternal heroin self-administration in rats increases drug-seeking behavior in male offspring via miR-19b downregulation in the nucleus accumbens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Prelimbic cortex is involved in the regulation of morphine-induced conditioned place preference in both resistant and sensitive mice.Scientific reports · 2025Article
- Magnitude and predictors of elasticity of demand for morphine are similar in male and female rats.Frontiers in behavioral neuroscience · 2024Article
- How life events may confer vulnerability to addiction: the role of epigenetics.Frontiers in molecular neuroscience · 2024Review
- Mu Opioid Receptor-Positive Neurons in the Dorsal Raphe Nucleus Are Impaired by Morphine Abstinence.Biological psychiatry · 2023Article
- Stress reveals a specific behavioral phenotype for opioid abuse susceptibility.Journal of the experimental analysis of behavior · 2022Article
- HPA axis dysfunction during morphine withdrawal in offspring of female rats exposed to opioids preconception.Neuroscience letters · 2022Article
- Experimental considerations for the assessment of in vivo and in vitro opioid pharmacology.Pharmacology & therapeutics · 2022Review
- Review
- Impact of the Aversive Effects of Drugs on Their Use and Abuse.Behavioural neurology · 2022Review
- Individual Differences in Different Measures of Opioid Self-Administration in Rats Are Accounted for by a Single Latent Variable.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundLike other forms of psychopathology, vulnerability to opioid addiction is subject to wide individual differences. Animal behavioral models are valuable in advancing our understanding of mechanisms underlying vulnerability to the disorder's development and amenability to treatment.
methodsThis review provides an overview of preclinical work on behavioral predictors of opioid addiction vulnerability as measured using the intravenous (i.v.) self-administration (SA) model in rats. We also highlight several new approaches to studying individual differences in opioid addiction vulnerability in preclinical models that could have greater sensitivity and lead to more clinically relevant findings. RESULTS AND
conclusionsEvidence for the relationship between various behavioral traits and opioid SA in the preclinical literature is limited. With the possible exceptions of sensitivity to opioid agonist/withdrawal effects and stress reactivity, predictors of individual differences in SA of other drugs of abuse (e.g. sensation-seeking, impulsivity) do not predict vulnerability to opioid SA in rats. Refinement of SA measures and the use of multivariate designs and statistics could help identify predictors of opioid SA and lead to more clinically relevant studies on opioid addiction vulnerability.
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Registered trials
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.