JOURNAL ARTICLE

The Newport Manual: The new kid on the block on the laws of naval warfare.

  • Published In: Journal of Conflict & Security Law, 2025, v. 30, n. 1. P. 139 1 of 3

  • Database: Legal Source 2 of 3

  • Authored By: Fink, Martin 3 of 3

Abstract

The article provides an overview and analysis of the 2023 Newport Manual on the Law of Naval Warfare (NPM), a new expert manual authored by a small group of international legal and operational experts to clarify the contemporary lex lata (law as it is) of naval warfare. The NPM aims to address gaps and topical issues not fully covered by the authoritative but partly outdated San Remo Manual on the International Law Applicable to Armed Conflicts at Sea (SRM), offering critical divergences on subjects such as the targeting of passenger vessels, arming hospital ships, humanitarian requirements in blockades, the threshold for visit and search, and the due regard rule in exclusive economic zones. The manual also introduces novel discussions on conversion of merchant vessels into warships, attempted breach of blockade, unmanned maritime vessels, and the application of naval warfare law in non-international armed conflicts (NIAC). Emphasizing the lex specialis principle, the NPM holds that the law of naval warfare prevails over peacetime maritime law during hostilities, reflecting state practice primarily of major maritime powers, though it remains a non-binding scholarly guide rather than an official state position.

Additional Information

  • Source:Journal of Conflict & Security Law. 2025/03, Vol. 30, Issue 1, p139
  • Document Type:Article
  • Subject Area:Arts and Entertainment
  • Publication Date:2025
  • ISSN:14677954
  • DOI:10.1093/jcsl/krae020
  • Accession Number:185320883
  • Copyright Statement:Copyright of Journal of Conflict & Security Law 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.