Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 859

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Potent Nonpeptide Antagonist of the Substance P (NK 1 ) Receptor

Snider, R. Michael, Constantine, Jay W., Lowe, John A., Longo, Kelly P., Lebel, Wesley S., Woody, Heidi A., Drozda, Susan E., Desai, Manoj C., Vinick, Fredric J., Spencer, Robin W., Hess, Hans-Jürgen·1991·Science

Abstract

CP-96,345 [(2 S , 3 S )- cis -2-(diphenylmethyl)- N -[(2-methoxyphenyl)-methyl]-1-azabicyclo[2.2.2]octan-3-amine] is a potent nonpeptide antagonist of the substance P (NK 1 ) receptor. CP-96,345 inhibited 3 H-labeled substance P binding and was a classical competitive antagonist in the NK 1 monoreceptor dog carotid artery preparation. CP-96,345 inhibited substance P-induced salivation in the rat, a classical in vivo bioassay, but did not inhibit NK 2 , NK 3 , or numerous other receptors; it is thus a selective NK 1 antagonist. This compound may prove to be a powerful tool for investigation of the physiological properties of substance P and exploration of its role in diseases.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.1703323

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 859

Metadata

Authors
Snider, R. M., Constantine, J. W., Lowe, J. A., Longo, K. P., Lebel, W. S., Woody, H. A., Drozda, S. E., Desai, M. C., Vinick, F. J., Spencer, R. W., & Hess, H.-J.
Venue
Science
Published
1991-01-25
Volume
251
Issue
4992
Pages
435-437
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2031706219
Cited by
859
References
1
FWCI
47.88
Type
journal article
Language
en
Open access
closed

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: A Potent Nonpeptide Antagonist of the Substance P (NK 1 ) Receptor. https://app.cochat.ai/papers/10.1126/science.1703323
The paper
Snider, R. M., Constantine, J. W., Lowe, J. A., Longo, K. P., Lebel, W. S., Woody, H. A., Drozda, S. E., Desai, M. C., Vinick, F. J., Spencer, R. W., & Hess, H.-J. (1991). A Potent Nonpeptide Antagonist of the Substance P (NK 1 ) Receptor. Science. https://doi.org/10.1126/science.1703323

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.