The DOI matches its Crossref record.
pAx AND COMPETITIVE DRUG ANTAGONISM
Open accessAbstract
In a recent paper Guarino and Bovet (1949) have studied the use of the measure pA for expressing intensity of drug antagonism.pA, has been defined (Schild, 1947) as the negative logarithm of the molar concentration of an antagonist which reduces the effect of a multiple dose, x, of a stimulant drug to that of a single dose.Guarino and Bovet have pointed out that this definition does not specify concentration of active drug, and therefore by implication assumes that pA is independent of the initial concentration of active drug used.In studying the an.-TYPE tagonism between acetylcholine coo and flaxedil* on the frog's rectus abdominis, however, they found that pA was not % , entirely independent of the CONTRACTION /
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Operational models of pharmacological agonism
Black, J. W., & Leff, P. (1983) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1983.0093 · Cited by 951
Membrane Receptors and Hormone Action
Cuatrecasas, P., & Hollenberg, M. D. (1976) · Advances in Protein Chemistry · doi:10.1016/s0065-3233(08)60481-7 · Cited by 478
Pharmacological profile of BIBN4096BS, the first selective small molecule CGRP antagonist
Doods, H., Hallermayer, G., Wu, D., Entzeroth, M., Rudolf, K., Engel, W., & Eberlein, W. (2000) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0703110 · Cited by 466
Hodgson, R. A., Mullins, D., Lu, S. X., Guzzi, M., Zhang, X., Bleickardt, C. J., Scott, J. D., Miller, M. W., Stamford, A. W., Parker, E. M., et al. (2014) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2014.02.027 · Cited by 30
Metadata
- Authors
- SCHILD, H. O.
- Venue
- British Journal of Pharmacology and Chemotherapy
- Publisher
- Wiley
- Published
- 1949-09
- Volume
- 4
- Issue
- 3
- Pages
- 277-280
- ISSN
- 0366-0826 (ISSN-L)
- OpenAlex
- W2067586008
- Cited by
- 246
- References
- 0
- FWCI
- 0.46
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: pAx AND COMPETITIVE DRUG ANTAGONISM. https://app.cochat.ai/papers/10.1111/j.1476-5381.1949.tb00548.x
- The paper
- SCHILD, H. O. (1949). pAx AND COMPETITIVE DRUG ANTAGONISM. British Journal of Pharmacology and Chemotherapy. https://doi.org/10.1111/j.1476-5381.1949.tb00548.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.