Evidence map›Paper›PMID 40817289›Full record

ReviewNature reviews. Neurology2025

Targeting sodium channels - challenges for acute pain and the leap to chronic pain.

Matthew Alsaloum, Dmytro Vasylyev, Stephen G Waxman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. The Excelsatoxin A-Receptor TMEM233 Modulates Nav1.8.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. 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

3 authors.

Matthew AlsaloumDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Dmytro VasylyevDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Stephen G WaxmanDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA. stephen.waxman@yale.edu.ORCID 0000-0001-5718-7177

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of pain is a challenge for almost all clinicians, ranging from general practitioners to subspecialists such as pain medicine physicians, surgeons, neurologists and physiatrists. Over the past few years, clinical studies in people with acute postoperative pain have demonstrated that pain in humans can be reduced by inhibiting Nav1.8, a sodium channel that is essential for repetitive firing of peripheral pain-signalling neurons and has no essential function in the CNS. This discovery is an important step forward, but pain reduction in these studies was partial, not complete. Moreover, success via this approach thus far has been limited to people with acute pain, and translation to chronic pain must still be confronted. In this Perspective, we discuss the key questions of whether more effective Nav1.8 blockers can be built and whether neural mechanisms impose a ceiling on the pain relief that can be achieved by Nav1.8 inhibition. We then explore the challenge of developing therapeutics for chronic pain and ask whether compensatory changes or development of pain generators within the CNS might limit pain relief. Finally, we discuss the clinical complexity of pain and its implications for therapy and pose questions and suggest opportunities for the future.

Indexed as

Acute PainChronic PainNAV1.8 Voltage-Gated Sodium ChannelPain ManagementSodium Channel BlockersAnimalsHumansNAV1.8 Voltage-Gated Sodium ChannelSodium Channel Blockers

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.