Evidence map›Paper›PMID 38613441›Full record

ArticleJournal of analytical toxicology2024

Driving under the influence of cocaine and MDMA: Relationship between blood concentrations and results from clinical test of impairment.

Gunhild Heide, Ragnhild Elén Gjulem Jamt, Jonas Fainberg-Sandbu, Åse Marit Leere Øiestad, Gudrun Høiseth

Open access · hybridAbstract read
In one paragraph

Article in Journal of analytical toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Interpol review of forensic toxicology, 2023-2025.Forensic science international. Synergy · 2026
    Review
  2. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  3. Article
  4. Review
  5. Review
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

5 authors at 1 institution in 1 country.

Gunhild HeideDepartment of Forensic Sciences, Oslo University Hospital, P.O. Box 4950 Nydalen, Oslo 0424, Norway.ORCID 0000-0002-0684-2175
Ragnhild Elén Gjulem JamtDepartment of Forensic Sciences, Oslo University Hospital, P.O. Box 4950 Nydalen, Oslo 0424, Norway.
Jonas Fainberg-SandbuDepartment of Forensic Sciences, Oslo University Hospital, P.O. Box 4950 Nydalen, Oslo 0424, Norway.
Åse Marit Leere ØiestadDepartment of Forensic Sciences, Oslo University Hospital, P.O. Box 4950 Nydalen, Oslo 0424, Norway.ORCID 0000-0001-7909-5863
Gudrun HøisethDepartment of Forensic Sciences, Oslo University Hospital, P.O. Box 4950 Nydalen, Oslo 0424, Norway.
Oslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The general use of cocaine is increasing in recent years, while the trend for 3,4-methylenedioxymethamphetamine (MDMA) is less clear. The relationship between blood concentrations and impairment is poorly understood, which complicates interpretation. The aims of this study were to report prevalence and blood concentrations of cocaine and MDMA in drugged drivers, and to investigate the relationship between blood concentrations and impairment. Samples of whole blood were collected from apprehended drivers in the period 2000-2022, and a clinical test of impairment (CTI) was simultaneously performed. The samples were initially analyzed for cocaine and MDMA using gas chromatography-mass spectrometry (until 2009 and 2012, respectively), and later using ultra-high-performance liquid chromatography-tandem mass spectrometry. Overall, cocaine was detected in 2,331 cases and MDMA in 2,569 cases. There were 377 and 85 mono cases of cocaine and MDMA, respectively. In the mono cases, the median cocaine concentration was 0.09 mg/L (range: 0.02-1.15 mg/L), and 54% of the drivers were clinically impaired. The median MDMA concentration was 0.19 mg/L (range: 0.04-1.36 mg/L), and 38% were clinically impaired. There was a statistically significant difference in the median cocaine concentration between drivers assessed as not impaired (0.07 mg/L) and drivers assessed as impaired (0.10 mg/L) (P = 0.009). There was also a significant effect of the blood concentration of cocaine (adjusted odds ratio [aOR] = 6.42, 95% confidence interval [CI] = 1.13-36.53, P = 0.036) and driving during the evening/night-time (aOR = 2.17, 95% CI = 1.34-3.51, P = 0.002) on the probability of being assessed as impaired on the CTI. No significant differences were found for MDMA. Many drivers are not assessed as impaired on a CTI following cocaine or especially MDMA use. For cocaine, a relationship between blood concentrations and impairment was demonstrated, but this could not be shown for MDMA.

Indexed as

CocaineDriving Under the InfluenceN-Methyl-3,4-methylenedioxyamphetamineSubstance Abuse DetectionAdultChromatography, High Pressure LiquidFemaleGas Chromatography-Mass SpectrometryHumansMaleTandem Mass SpectrometryCocaineN-Methyl-3,4-methylenedioxyamphetamine

Identifiers

PMID38613441
PMCPMC11165640
OpenAlexW4394787545

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.