JOURNAL ARTICLE

An Ill-bred Culture of Experimentation: Malaria Therapy and Race in the United States Public Health Service Laboratory at the South Carolina State Hospital, 1932-1952.

  • Published In: Journal of the History of Medicine & Allied Sciences, 2025, v. 80, n. 1. P. 67 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Pelletier, Bradford Charles 3 of 3

Abstract

This article examines the malaria fever therapy experiments conducted by the United States Public Health Service (PHS) at the Williams Laboratory on the grounds of the South Carolina State Hospital (SCSH) from 1932 to 1952, focusing on the ethical implications and racial disparities involved. The program used malaria infection as a treatment for neurosyphilis, maintaining patients—predominantly African American—as reservoirs for malaria transmission and subjecting them to extreme fevers and repeated insect bites without informed consent or compensation. African American patients, segregated in the poorly equipped State Park Unit (SPU), experienced significantly higher mortality rates and harsher experimental conditions compared to White patients, reflecting prevailing scientific racism and systemic exploitation. Despite the advent of penicillin as a cure for syphilis, the malaria therapy program continued, underscoring ongoing ethical violations and the intersection of race, class, and mental illness in medical experimentation during this period.

Additional Information

  • Source:Journal of the History of Medicine & Allied Sciences. 2025/01, Vol. 80, Issue 1, p67
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2025
  • ISSN:0022-5045
  • DOI:10.1093/jhmas/jrad063
  • Accession Number:181969588
  • Copyright Statement:Copyright of Journal of the History of Medicine & Allied Sciences 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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