Evidence map›Paper›PMID 39401193›Full record

ArticlePLOS global public health2024

Explanatory models of illicit drug use in adolescents: A qualitative study from India.

Bijayalaxmi Biswal, Brian Zhou, Karen Wen, Devika Gupta, Urvita Bhatia, Abhijit Nadkarni

Abstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Reconstructing Cross-Cultural Meanings of Addiction Among Women from Three Countries.International journal of environmental research and public health · 2025
    Article
4 · The record

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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

6 authors.

Bijayalaxmi BiswalAddictions and related-Research Group, Sangath, Goa, India.ORCID https://orcid.org/0009-0007-0384-9455
Brian ZhouDepartment of Anthropology, Harvard University, Cambridge, Massachusetts, United States of America.
Karen WenDepartment of Public Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Devika GuptaAddictions and related-Research Group, Sangath, Goa, India.ORCID https://orcid.org/0000-0002-0667-4773
Urvita BhatiaAddictions and related-Research Group, Sangath, Goa, India.
Abhijit NadkarniAddictions and related-Research Group, Sangath, Goa, India.ORCID https://orcid.org/0000-0001-5832-5236

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Illicit drug use is a growing concern in India, with a high treatment gap of 73%. Explanatory models can provide valuable insights into the patient's conception of disease and inform help-seeking, treatment, and recovery. Of the studies that examine adolescent drug misuse in India, none have developed a socio-cultural explanatory model. The aim of our study was to develop an explanatory model to better understand the causal beliefs, social context, and self-perception of illicit drug misuse amongst adolescents in India. We conducted semi-structured interviews with 23 adolescents seeking treatment for drug use disorders and 25 healthcare providers recruited across three sites in India. Thematic analysis was used to analyse data. Most adolescent participants reported using multiple drugs, often in combination with cannabis. Frequent usage was reported i.e., daily at multiple times. Causes of initiation and continued use were peer influence, curiosity and pleasure, psychosocial stressors, family conditions, and systemic risk factors (e.g. socioeconomic instability). Drugs were acquired from various sources, including fellow users and pharmacies. Adolescent participants perceived negative impacts of drug use on physical and mental health, family relationships, and everyday functioning. Our findings on common reasons of drug use initiation, importance of peer relationships in continuation of use, impact of use on various aspects of life and the relationship of illicit drug use with socioeconomic status are consistent with previous research done in India on the subject. Understanding how adolescents and caregivers perceive drug use can help inform patient-clinician rapport, improve treatment compliance and understand intervention effectiveness. Such an explanatory model holds crucial implications for shaping interventions and clinical approaches to address adolescent drug use in India.

Identifiers

PMID39401193
PMCPMC11472909

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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.