Evidence map›Paper›PMID 42898711›Full record

ArticleAddiction & health2026

Non-Invasive Detection of Opioid Addiction through Serum Analysis Using FTIR Spectroscopy.

Zozan Guleken, Zerrin Günceler, İbrahim Sönmez, Mihriban Varan, Devrim Sarıbal, Hasan Mırsal, Zeynep Ceylan, Jozef Cebulski, Joanna Depciuch

Abstract read
In one paragraph

Article in Addiction & health, 2026. 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
–field-weighted citation impact
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

9 authors.

Zozan GulekenDepartment of Physiology, Faculty of Medicine, Gaziantep Islam, Science and Technology University, Gaziantep, Türkiye.ORCID https://orcid.org/0000-0002-4136-4447
Zerrin GüncelerPhase III Medical Student, Faculty of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye.ORCID https://orcid.org/0009-0008-1842-1942
İbrahim SönmezPhase III Medical Student, Faculty of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye.ORCID https://orcid.org/0009-0005-8744-6164
Mihriban VaranPhase III Medical Student, Faculty of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye.ORCID https://orcid.org/0009-0002-4793-0005
Devrim SarıbalDepartment of Biophysics, Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Türkiye.
Hasan MırsalDepartment of Mental Health and Diseases, Balıklı Rum Hospital, Istanbul, Türkiye.
Zeynep CeylanDepartment of Industrial Engineering, Faculty of Engineering, Samsun University, Samsun, Türkiye.
Jozef CebulskiInstitute of Physics, University of Rzeszow, Rzeszow, Poland.
Joanna DepciuchDepartment of Biochemistry and Molecular Biology, Faculty of Medicine, University of Lublin, Poland.ORCID https://orcid.org/0000-0003-0168-1701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Opioid addiction is a widespread chronic disorder associated with substantial morbidity and mortality worldwide. The impact of chronic opioid use on the serum biochemical profile remains incompletely understood. This study aimed to characterize serum biochemical profiles using Fourier Transform Infrared (FTIR) spectroscopy and evaluate their ability to differentiate opioid users from healthy controls. Methods: Serum samples were obtained from control individuals (n=40) and opioid use disorder (n=30) patients. FTIR spectroscopy was performed to obtain serum spectral profiles. To evaluate spectral differences and group discrimination based on biochemical profiles, Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) were applied. Findings: FTIR spectra exhibited similar peak positions but significantly different absorbance values between groups. Phospholipid (1081 and 1246 cm Conclusion: Our analysis successfully characterized serum biochemical alterations associated with opioid use disorder and effectively discriminated opioid users from healthy controls. The observed spectral differences confirmed the potential utility of FTIR spectroscopy as a rapid, minimally invasive approach for biochemical profiling and monitoring opioid-associated molecular changes.

Indexed as

FTIR spectroscopyMachine learningNon-invasive diagnosticsOpioid addictionSerum biochemical analysis

Identifiers

PMID42898711
PMCPMC13678042

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.