JOURNAL ARTICLE

Cooling the flames: Navigating menopausal vasomotor symptoms with nonhormone medications.

  • Published In: American Journal of Health-System Pharmacy, 2025, v. 82, n. 7. P. e332 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Carson, Erin; Vernon, Veronica; Cunningham, Lauren; Mathew, Sheryl 3 of 3

Abstract

This article focuses on prescription nonhormone treatment options for menopausal vasomotor symptoms (VMS), which are commonly experienced during menopause and include hot flashes. While hormone therapy remains the gold standard for managing VMS, it is underutilized due to contraindications or patient preference, making nonhormone therapies important alternatives. FDA-approved nonhormone options include low-dose paroxetine, a selective serotonin reuptake inhibitor (SSRI), and fezolinetant, a novel neurokinin-3 receptor (NK3R) antagonist shown to significantly reduce VMS frequency comparable to hormone therapy. Other off-label nonhormone treatments such as serotonin-norepinephrine reuptake inhibitors (SNRIs), gabapentin, and oxybutynin offer mild to moderate symptom relief but have varying side effect profiles and limitations. The article emphasizes the role of pharmacists in bridging treatment gaps by being knowledgeable about both hormone and nonhormone therapies, while noting the need for further research on fezolinetant’s long-term safety, affordability, and direct comparisons with other agents.

Additional Information

  • Source:American Journal of Health-System Pharmacy. 2025/04, Vol. 82, Issue 7, pe332
  • Document Type:Article
  • Subject Area:Complementary and Alternative Medicine
  • Publication Date:2025
  • ISSN:1079-2082
  • DOI:10.1093/ajhp/zxae254
  • Accession Number:184598584
  • Copyright Statement:Copyright of American Journal of Health-System Pharmacy is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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