Evidence map›Paper›PMID 39691942›Full record

ArticleSubstance use : research and treatment

Insights into the Experiences of Persons with Substance Use Disorders During COVID-19 Lockdown in Lagos, Nigeria: A Qualitative Investigation.

Samuel Ojima Adejoh, Peter Osazuwa, Sofiat Busari-Akinbode, Rosilyn Gborogen, Abolaji Awodein, Waziri Adisa, Titi Tade, Fatai Adesina Badru

Abstract read
In one paragraph

Article in Substance use : research and treatment. 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
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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

8 authors.

Samuel Ojima AdejohDepartment of Social Work, University of Lagos, Akoka, Nigeria.ORCID https://orcid.org/0000-0002-3588-3187
Peter OsazuwaUniversity of Ibadan, Ibadan, Nigeria.
Sofiat Busari-AkinbodeDepartment of Social Work, University of Lagos, Akoka, Nigeria.
Rosilyn GborogenAscension Borgess Hospital, Kalamazoo, MI, USA.
Abolaji AwodeinDepartment of Social Work, University of Lagos, Akoka, Nigeria.
Waziri AdisaDepartment of Sociology, University of Lagos, Akoka, Nigeria.
Titi TadeMedical Social Services Department, Lagos University Teaching Hospital, Idi-Araba, Nigeria.
Fatai Adesina BadruDepartment of Social Work, University of Lagos, Akoka, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigated the impact of COVID-19 lockdown on the consumption of illicit drugs among Persons with Substance Use Disorders in Lagos, Nigeria. Methods: Using convenience sampling, 25 participants, who use different substances consented to participate in the study. Data was collected using in-depth interview guide and thematically analysed using NVivo 12 Plus. Findings: The findings show that activities of celebrities on social media were motivation for use. There was an increase in the consumption of illicit drugs during the COVID-19 lockdown period among the participants. Participants were able to purchase illicit drugs from street vendors despite the lockdown restriction, while others bought from online retailers - the social media platforms. Participants reported an increase in the price of substances and a reduction in their quantity and quality during the lockdown which may likely account for the increase in consumption reported. Conclusion: The lockdown, though used in curtailing the spread of COVID-19, had an unintended increase in the consumption of illicit drugs suggesting that drug markets can be resilient and adaptive during global crises.

Indexed as

Accessconsumptionillicit drugsocial media platformstreet vendors

Identifiers

PMID39691942
PMCPMC11650566

What OpenQuestion holds

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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.