JOURNAL ARTICLE

The United States Shift to Direct Action: Framing Military Strikes on Iran as a Necessary Counter-Terrorism Measure.

  • Published In: African Journal of Terrorism & Insurgency Research (AJoTIR), 2025, v. 6, n. 2. P. 47 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chukwu, Emmanuel Ogbonnaya 3 of 3

Abstract

The article critically examines the June 2025 United States precision strikes—termed Operation Midnight Hammer—on Iran's nuclear facilities at Fordow, Natanz, and Isfahan, framing this military action as a strategic shift from deterrence-by-denial to deterrence-by-punishment within U.S. counter-terrorism and non-proliferation policy. It analyzes the immediate tactical success in degrading Iran's nuclear capabilities alongside the ensuing asymmetric retaliation by Iran and its proxies, heightened regional security risks, and diplomatic fallout, including condemnation from China, Russia, and European allies. The study situates these events within the broader Israel–Iran rivalry and regional security dynamics, highlighting the challenges of escalation management, the erosion of multilateral consensus, and the legal debates surrounding unilateral pre-emptive strikes. It concludes by recommending that sustainable U.S. counter-terrorism strategy should integrate calibrated military action with robust diplomacy, regional partnership-building, and adherence to international law to mitigate long-term instability and preserve global non-proliferation norms.

Additional Information

  • Source:African Journal of Terrorism & Insurgency Research (AJoTIR). 2025/12, Vol. 6, Issue 2, p47
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:2732-4990
  • DOI:10.31920/2732-5008/2024/v6n2a3
  • Accession Number:189751758
  • Copyright Statement:Copyright of African Journal of Terrorism & Insurgency Research (AJoTIR) is the property of Adonis & Abbey Publishers Ltd. 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.