Evidence map›Paper›PMID 41307536›Full record

ArticleMedical history2026

Mental illness, forced labour, and colonial biopower in Kabba Province of Northern Nigeria, 1900-1947.

Unekwu Friday Itodo

Abstract readHistorical Article
In one paragraph

Article in Medical history, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Unekwu Friday ItodoHistory and International Studies, https://ror.org/00dvsyx28Prince Abubakar Audu University, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examining the systemic exploitation of mentally ill individuals, this study focuses on the practices of the British colonial administration in Kabba Province, Northern Nigeria (1900-1947). This research investigates how colonial authorities employed biopolitical strategies to categorise, control, and exploit this vulnerable population for labour, prioritising colonial economic and administrative interests. The study utilises a qualitative methodology, primarily analysing archival documents from the National Archives of Nigeria (NAK), Kaduna, and Arewa House Archives (AHA), to uncover the forced labour system's practices and rationalisations. Crucially, it incorporates oral sources from direct descendants of ethno-medical practitioners, former colonial staff, traditional chiefs, and learned community members. This oral history component provides vital intergenerational knowledge, contextualising archival findings and offering perspectives often absent from official records, ensuring a nuanced understanding of pre-colonial mental health practices and colonial-era lived experiences. Secondary literature on colonial biopower, mental health history, and regional history provides a comparative framework. Findings indicate the colonial administration systematically repurposed traditional care and established new mechanisms to identify, isolate, and compel mentally ill individuals into various forms of forced labour for infrastructure and economic extraction. In conclusion, this research significantly contributes to scholarship on vulnerable populations during colonialism, illuminating the intricate link between mental illness, labour, and power in colonial Nigeria, and informing contemporary debates on mental health, human rights, and historical justice.

Indexed as

ColonialismMental DisordersPersons with Psychiatric DisordersHistory, 20th CenturyHumansNigeriaBiopowerColonialismExploitationForced LabourHuman RightsKabba ProvinceMarginalisationMental IllnessNorthern Nigeria

Identifiers

PMID41307536
PMCPMC13121796

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Registered trials

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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.