Deep learning analysis of particle content in extracted slow-release morphine: longer boiling reduces large fragments while retaining morphine extraction

The extraction methods used by injecting drug users result in significant variability in morphine recovery and particle content of filtrates. Method D (10-minute vs. 3-minute boiling) demonstrated the highest efficiency in particle reduction, with only 10% less morphine recovery. Lack of coat removal significantly increases the number of primarily small (<100 μm) fragments. These findings highlight the importance of evidence-based harm-reduction measures to mitigate risks associated with injecting tablet-derived solutions. The results may support harm-reduction counselling and service design aimed at reducing particulate exposure and related complications, without endorsing or facilitating drug use.

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Journal
Scientific Reports
Published
2026-01-19
DOI
https://doi.org/10.1038/s41598-026-35870-2
Primary Topic
HIV, Drug Use, Sexual Risk
Type
article
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article

Deep learning analysis of particle content in extracted slow-release morphine: longer boiling reduces large fragments while retaining morphine extraction

Trond Oskar Aamo, H N Pettersen, Katrine Melby, Per Ole M. Gundersen
Scientific Reports
HIV, Drug Use, Sexual Risk
article

Deep learning analysis of particle content in extracted slow-release morphine: longer boiling reduces large fragments while retaining morphine extraction

Trond Oskar Aamo, H N Pettersen, Katrine Melby, Per Ole M. Gundersen
article en

Abstract

The extraction methods used by injecting drug users result in significant variability in morphine recovery and particle content of filtrates. Method D (10-minute vs. 3-minute boiling) demonstrated the highest efficiency in particle reduction, with only 10% less morphine recovery. Lack of coat removal significantly increases the number of primarily small (<100 μm) fragments. These findings highlight the importance of evidence-based harm-reduction measures to mitigate risks associated with injecting tablet-derived solutions. The results may support harm-reduction counselling and service design aimed at reducing particulate exposure and related complications, without endorsing or facilitating drug use.

Scientific ReportsVol. 16(1)
Norwegian University of Science and Technology (NO), St Olav's University Hospital (NO)
Good health and well-being
Openalex Percentile: Top 84%
HIV, Drug Use, Sexual Risk
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Deep learning analysis of particle content in extracted slow-release morphine: longer boiling reduces large fragments while retaining morphine extraction — Trond Oskar Aamo, H N Pettersen, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS