Evidence map›Paper›PMID 40399492›Full record

ArticleScientific reports2025

Opioid quantification via microsampling techniques to assess opioid use in human laboratory studies.

Ramisa Fariha, Emma Rothkopf, Carolina L Haass-Koffler, Anubhav Tripathi

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Ramisa FarihaCenter for Biomedical Engineering, Brown University, Providence, RI, USA.
Emma RothkopfCenter for Biomedical Engineering, Brown University, Providence, RI, USA.
Carolina L Haass-KofflerDepartment of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.
Anubhav TripathiCenter for Biomedical Engineering, Brown University, Providence, RI, USA. anubhav_tripathi@brown.edu.

Funding

Using wearables and EMA to examine the links between cannabis and depressionP20GM130414 · NIGMS · BROWN UNIVERSITY · PI Cara Murphy · 2019 to 2026
$22.0M
A focus on alpha-1 blockade as a novel pharmacological treatment for alcohol use disorderR01AA027760 · NIAAA · BROWN UNIVERSITY · PI HAASS-KOFFLER, CAROLINA LUISA · 2019 to 2023
$2.6M
NIAAA NIH HHS R01 AA027760NIGMS NIH HHS COBRE, P20 GM130414NIGMS NIH HHS P20 GM130414
6 · The paper itself

Abstract

Despite progress in neurobiological studies with human subjects, sample availability remains a challenge. Urine samples, widely used for screening, suffer from false-positive results due to immunoassay cross-reactivity. Serum, used for confirmatory testing, offers advantages but faces limitations due to blood collection. Microsamples, with a working volume less than 50 μL, present an ideal strategy for robust quantitative data collection in investigations and human laboratory studies. We developed, validated, and automated a serum-based LC-MS/MS assay for accurate quantification of six opioids using only 20 μL of patient samples. Our method, applied in a clinical trial with patients with opioid use disorder (N = 20) receiving intranasal oxytocin, or placebo, for one week in addition to opioid agonist therapy (buprenorphine or methadone). We quantified six different opioids, undetected by urine strip tests, that were used by patients during the treatment phase. Our high-throughput, automated approach surpasses existing methods in literature, enhancing efficiency in multi-matrix studies.

Indexed as

Analgesics, OpioidOpioid-Related DisordersSubstance Abuse DetectionAdultBuprenorphineChromatography, LiquidFemaleHumansMaleMethadoneTandem Mass SpectrometryAnalgesics, OpioidBuprenorphineMethadone

Identifiers

PMID40399492
PMCPMC12095466

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.