Evidence map›Paper›PMID 24633558›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2014

Long-term effects of cannabis on brain structure.

Giovanni Battistella, Eleonora Fornari, Jean-Marie Annoni, Haithem Chtioui, Kim Dao, Marie Fabritius, Bernard Favrat, Jean-Frédéric Mall, Philippe Maeder, Christian Giroud

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 9 pooled it
24.2field-weighted citation impact, top 1% 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

140 citing papers in PubMed, 9 syntheses or guidelines pooled it, 346 citations in OpenAlex.

  1. The genetics of cannabis lifetime use.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  14. Genetic pleiotropy differentially linking brain variation to cannabis use and cannabis use disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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80 more citing papers are in PubMed but not listed here.

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

10 authors at 3 institutions in 1 country.

Giovanni BattistellaDepartment of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Eleonora Fornari1] Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland [2] CIBM (Centre d'Imagerie Biomédicale), Centre Hospitalier Universitaire Vaudois (CHUV) unit, Lausanne, Switzerland.
Jean-Marie AnnoniNeurology Units, Department of Medicine, University of Fribourg, Fribourg, Switzerland.
Haithem ChtiouiDepartment of Clinical Pharmacology and Toxicology, Centre Hospitalier Universitaire Vaudois CHUV, Lausanne, Switzerland.
Kim DaoDepartment of Clinical Pharmacology and Toxicology, Centre Hospitalier Universitaire Vaudois CHUV, Lausanne, Switzerland.
Marie FabritiusCURML (University Center of Legal Medicine), UTCF (Forensic Toxicology and Chemistry Unit), Lausanne, Switzerland.
Bernard FavratCURML (University Center of Legal Medicine), UMPT (Unit of Psychology and Traffic Medicine), Lausanne and Geneva, Switzerland.
Jean-Frédéric MallDepartment of Psychiatry, SUPAA (Service Universitaire de Psychiatrie de l'Age Avancé), CHUV, Lausanne, Switzerland.
Philippe MaederDepartment of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne, Switzerland.
Christian GiroudCURML (University Center of Legal Medicine), UTCF (Forensic Toxicology and Chemistry Unit), Lausanne, Switzerland.
University Hospital of Lausanne · CHUniversity Centre of Legal Medicine · CHUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dose-dependent toxicity of the main psychoactive component of cannabis in brain regions rich in cannabinoid CB1 receptors is well known in animal studies. However, research in humans does not show common findings across studies regarding the brain regions that are affected after long-term exposure to cannabis. In the present study, we investigate (using Voxel-based Morphometry) gray matter changes in a group of regular cannabis smokers in comparison with a group of occasional smokers matched by the years of cannabis use. We provide evidence that regular cannabis use is associated with gray matter volume reduction in the medial temporal cortex, temporal pole, parahippocampal gyrus, insula, and orbitofrontal cortex; these regions are rich in cannabinoid CB1 receptors and functionally associated with motivational, emotional, and affective processing. Furthermore, these changes correlate with the frequency of cannabis use in the 3 months before inclusion in the study. The age of onset of drug use also influences the magnitude of these changes. Significant gray matter volume reduction could result either from heavy consumption unrelated to the age of onset or instead from recreational cannabis use initiated at an adolescent age. In contrast, the larger gray matter volume detected in the cerebellum of regular smokers without any correlation with the monthly consumption of cannabis may be related to developmental (ontogenic) processes that occur in adolescence.

Indexed as

AdolescentAdultAge of OnsetBrainCannabisGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMarijuana AbuseMarijuana SmokingSurveys and QuestionnairesTime FactorsYoung Adult

Identifiers

PMID24633558
PMCPMC4104335
OpenAlexW2063132177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.