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Cited by 530

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Intrinsic Mechanisms of Pain Inhibition: Activation by Stress

Terman, Gregory W., Shavit, Yehuda, Lewis, James W., Cannon, J. Timothy, Liebeskind, John C.·1984·Science

Abstract

Portions of the brain stem seem normally to inhibit pain. In man and laboratory animals these brain areas and pathways from them to spinal sensory circuits can be activated by focal stimulation. Endogenous opioids appear to be implicated although separate nonopioid mechanisms are also evident. Stress seems to be a natural stimulus triggering pain suppression. Properties of electric footshock have been shown to determine the opioid or nonopioid basis of stress-induced analgesia. Two different opioid systems can be activated by different footshock paradigms. This dissection of stress analgesia has begun to integrate divergent findings concerning pain inhibition and also to account for some of the variance that has obscured the reliable measurement of the effects of stress on tumor growth and immune function.

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Crossref · 10.1126/science.6505691

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Metadata

Authors
Terman, G. W., Shavit, Y., Lewis, J. W., Cannon, J. T., & Liebeskind, J. C.
Venue
Science
Published
1984-12-14
Volume
226
Issue
4680
Pages
1270-1277
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2023555221
Cited by
530
References
2
FWCI
36.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Intrinsic Mechanisms of Pain Inhibition: Activation by Stress. https://app.cochat.ai/papers/10.1126/science.6505691
The paper
Terman, G. W., Shavit, Y., Lewis, J. W., Cannon, J. T., & Liebeskind, J. C. (1984). Intrinsic Mechanisms of Pain Inhibition: Activation by Stress. Science. https://doi.org/10.1126/science.6505691

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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.