Drug Abuse and Career Instability in Karachi, Pakistan: A Cross-Sectional Analysis of Legal, Social, and Psychological Correlates

Authors

  • Dr. Syed Khurram Mehdi Assistant Professor Department of Criminology, Shaheed Zulfiqar Ali Bhutto University of Law, Karachi, Pakistan khuram.mehdi@szabul.edu.pk
  • Abdul Ghaffar Korai Associate Professor Department of Law, Shaheed Zulfiqar Ali Bhutto University of Law, Karachi, Pakistan Email: abdul.ghaffar@szabul.edu.pk
  • Dr. Sanaullah Abbasi Independent Researcher; Former Director General, Federal Investigation Agency, Pakistan; Former Inspector General of Police, Khyber Pakhtunkhwa, Pakistan sanaullahabbasi_psp@yahoo.com

DOI:

https://doi.org/10.70670/sra.v4i2.2190

Keywords:

Drug Abuse, Career Instability, Psychological Well-Being, Cross-Sectional Correlates

Abstract

Drug abuse remains a critical public health and social issue in Pakistan, particularly in Karachi, where urban stressors and drug availability are associated with career instability among youth and working adults. This quantitative cross-sectional study examined correlational associations between drug abuse and career instability, focusing on the statistical decomposition of associations involving legal, social, and psychological consequences. Data were collected from 120 respondents in Karachi (60 self-reported drug users, 60 non-users). Path decomposition using bootstrapping (5,000 resamples) produced indirect path coefficients consistent with partial statistical association for legal consequences (indirect coefficient = 0.20, 95% CI [0.09, 0.33]), social consequences (0.13, 95% CI [0.04, 0.24]), and psychological consequences (0.21, 95% CI [0.11, 0.34]). The direct coefficient remained significant (B = 0.42, 95% CI [0.26, 0.58]) in models containing each correlate. A chi-square test showed significant association between drug use status and job loss, χ²(1) = 23.18, p < .001, Cramer's V = 0.44. These findings describe associations only; the cross-sectional design cannot distinguish among competing causal directions, including reverse causation, unmeasured confounding, or common method variance. The term "path coefficient" is used throughout to avoid causal claims. Post-hoc power analysis indicated approximately 50 percent power to detect modest interaction effects; consequently, null moderation findings for age and gender are uninformative and not interpreted. Descriptive findings suggest that workplace drug awareness programs, career-focused rehabilitation, and integrated mental health support represent candidate hypotheses for future experimental testing. This study provides hypothesis-generating descriptive evidence to guide future longitudinal research in Pakistan, but causal claims require longitudinal or experimental designs.

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Published

29-05-2026

How to Cite

Khurram Mehdi, D. S., Ghaffar Korai, A., & Abbasi, D. S. (2026). Drug Abuse and Career Instability in Karachi, Pakistan: A Cross-Sectional Analysis of Legal, Social, and Psychological Correlates. Social Science Review Archives, 4(2), 1178–1202. https://doi.org/10.70670/sra.v4i2.2190