Evidence map›Paper›PMID 28935293›Full record

ReviewTrends in pharmacological sciences2017

Designing Safer Analgesics via μ-Opioid Receptor Pathways.

H C Stephen Chan, Dillon McCarthy, Jianing Li, Krzysztof Palczewski, Shuguang Yuan

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed.

  1. Trial
  2. Dual-target mu opioid-dopamine DEuropean journal of medicinal chemistry · 2026
    Article
  3. Article
  4. Article
  5. Rational Design Biased Compounds against μ‑Opioid Receptor.ACS pharmacology & translational science · 2025
    Article
  6. Review
  7. Article
  8. Current research in physiology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Photo-affinity and Metabolic Labeling Probes Based on the Opioid Alkaloids.Chembiochem : a European journal of chemical biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

H C Stephen ChanLaboratory of Physical Chemistry of Polymers and Membranes, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH B3 495 (Bâtiment CH) Station 6, Lausanne 1015, Switzerland; Faculty of Life Sciences, University of Bradford, Bradford BD7 1DP, UK.
Dillon McCarthyDepartment of Chemistry, University of Vermont, Burlington, VT 05405, USA.
Jianing LiDepartment of Chemistry, University of Vermont, Burlington, VT 05405, USA.
Krzysztof PalczewskiDepartment of Pharmacology School of Medicine, Case Western Reserve University Cleveland, OH 44106, USA.
Shuguang YuanLaboratory of Physical Chemistry of Polymers and Membranes, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH B3 495 (Bâtiment CH) Station 6, Lausanne 1015, Switzerland. Electronic address: shuguang.yuan@gmail.com.

Funding

STRUCTURAL STUDIES OF G PROTEIN-COUPLED RECEPTORSR01GM079191 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI PALCZEWSKI, KRZYSZTOF · 2007 to 2010
$845k
NIGMS NIH HHS R01 GM079191
6 · The paper itself

Abstract

Pain is both a major clinical and economic problem, affecting more people than diabetes, heart disease, and cancer combined. While a variety of prescribed or over-the-counter (OTC) medications are available for pain management, opioid medications, especially those acting on the μ-opioid receptor (μOR) and related pathways, have proven to be the most effective, despite some serious side effects including respiration depression, pruritus, dependence, and constipation. It is therefore imperative that both academia and industry develop novel μOR analgesics which retain their opioid analgesic properties but with fewer or no adverse effects. In this review we outline recent progress towards the discovery of safer opioid analgesics.

Indexed as

Analgesics, OpioidAnimalsDrug DesignHumansReceptors, Opioid, muAnalgesics, OpioidReceptors, Opioid, mucomputational biologydrug discoveryGPCRopioid receptorsafer painkiller

Identifiers

PMID28935293
PMCPMC5690544

What OpenQuestion holds

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Registered trials

None linked

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.