282
Views
2
CrossRef citations to date
0
Altmetric
Articles

Reasons of relapse and pattern of drug use among the substance users in Bangladesh: A nationwide study

, , , , , & ORCID Icon show all
Pages 876-885 | Published online: 04 Aug 2020
 

Abstract

This study aimed at investigating the reasons of relapse and patterns of drug use among the substance users in Bangladesh. We have conducted a descriptive type of cross-sectional study among the relapse cases of substances users in the whole of Bangladesh. Concerning the reasons for relapse after taking treatment; family unrest (29.5%), peer pressure (27.4%), to reduce depression (24.8%) and craving for drugs (24.3%) were the most frequent. Amphetamine was reported to be the most used drug (76.1%, n = 693), followed by cannabis (75%, n = 683) and alcohol (54.3%, n= 495). Further extensive studies are also needed to explore the association.

Acknowledgement

We would like to express our sincere thanks and gratitude to the authorities of rehabilitation centers for their kind cooperation and support during study period. We are also thankful to the management board of Dhaka Ahsania Mission for providing funds to conduct this important nationwide survey.

Data availability statement

The datasets used in the current study are available from the corresponding author on reasonable request.

Disclosure statement

The author(s) declare that there are no conflicts of interest in any steps of this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 499.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.