ArticleAlcohol (Fayetteville, N.Y.)2026
Argument for the pharmacokinetically-informed preclinical researcher: A commentary for Alcohol.
Article in Alcohol (Fayetteville, N.Y.), 2026. 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.
- Cued unpredictable intermittent access exacerbates loss of control over ethanol drinking.Neuropharmacology · 2026Article
- Cued unpredictable intermittent access exacerbates loss of control over ethanol drinking.bioRxiv : the preprint server for biology · 2026Article
- Aged female and male C57BL/6J mice have reduced alcohol self-administration and altered acute alcohol withdrawal compared to younger animals.Frontiers in aging neuroscience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
The purpose of this commentary is to advocate for the importance of carefully considering ethanol pharmacokinetics when conducting preclinical studies involving alcohol consumption. Researchers working in this field commonly use alcohol drinking as a principle or ancillary measurement. However, the amount of alcohol consumed cannot substitute for an understanding of dose, which is an essential referent in any study involving pharmacology, especially in studies using 24-h, two-bottle choice access to alcohol. Dose is the critical variable for understanding potency and efficacy, for translating both across species (including to humans) and for accurately building on preclinical work using in vitro methodologies. Nonetheless, there is a wide variety of practices when it comes to consideration of the pharmacological relevance of alcohol intake measures. Notably, there are numerous published studies reporting intake rates for which blood ethanol concentrations (BECs) would either be zero or negligible, or would be so high as to be physiologically impossible. To combat these issues, the gold standard for understanding dose should be measurement of BEC. Where this is impractical or impossible, researchers must at a minimum carefully analyze rates of alcohol intake in their population against well-understood and easily modeled pharmacokinetic factors, such as rate of intake as it compares to rate of metabolism. Similar methods are increasingly apparent in clinical studies that use pharmacological modeling (so-called "eBAC") along with measuring the rate of alcohol intake to estimate human BECs. In short, to make useful contributions to the study of alcohol drinking, authors should ensure that they are pharmacokinetically informed.
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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.