ArticleAddiction neuroscience2025
Using miniscopes and deep learning to compare neurobehavioral representations of psychostimulant and opioid self-administration.
Article in Addiction neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Can the incentive-sensitization theory of addiction incorporate addiction to opioid drugs?Psychopharmacology · 2026Review
- Genetic Modulation of Oxycodone Self-Administration Trajectories: From Initiation to Escalating Burst Patterns.bioRxiv : the preprint server for biology · 2026Article
- Genetic modulation of oxycodone self-administration trajectories: from initiation to escalating burst patterns.Frontiers in behavioral neuroscience · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Concurrent abuse of psychostimulants and opioids represents a growing public health concern. However, preclinical models of substance use disorder often situate psychostimulants and opioids similarly within a unified self-administration procedure. This approach may fail to capture important differences in neurobehavioral activity related to each drug type. A large volume of
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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.