Evidence map›Paper›PMID 42415727›Full record

ArticleNordisk alkohol- & narkotikatidskrift : NAT2026

Questions on Medicines, Alcohol, and Illicit Drug Interactions in the Finnish AddictionLink Online Service: A Descriptive Analysis.

Mari Vaarankorpi, Ville Valkonen, Niina Karttunen

Abstract read
In one paragraph

Article in Nordisk alkohol- & narkotikatidskrift : NAT, 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

3 authors.

Mari VaarankorpiSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.
Ville ValkonenSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-7842-2647
Niina KarttunenSchool of Pharmacy, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-1863-3979

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To explore which drugs and intoxicants people most commonly seek information about from the Finnish AddictionLink online information service and to describe the types of the drug interaction questions submitted, the most frequently mentioned substances in the questions and the background characteristics of the questioners. Methods: The study was conducted using data from the Finnish AddictionLink online information service. Medication-related questions submitted between 2011 and 2023 ( Results: Most questions concerned interactions between medications and intoxicants, with alcohol being the most frequently mentioned intoxicant, followed by stimulants and cannabis. Antidepressants were the most frequently mentioned drug class, followed by opioids, cardiovascular drugs, and benzodiazepines. Participants aged 13-25 years and those aged 46 years or older appeared to submit interaction-related questions more frequently, whereas individuals aged 26-45 were more likely to submit other medication-related questions. Conclusions: Questions concerning the concurrent use of medications with alcohol or illicit substances highlight a clear need for accessible and understandable information on drug-intoxicant interactions. The frequent involvement of antidepressants and other commonly used medications underscores the relevance of these interactions in routine treatment. Increasing awareness among both healthcare professionals and medication users is essential to support safer treatment choices.

Indexed as

alcoholdrug interactionsdrugsillicit substancesmedicinesquestions

Identifiers

PMID42415727
PMCPMC13337570

What OpenQuestion holds

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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.