Evidence map›Paper›PMID 40090019›Full record

ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)2025

Cannabis use patterns and different phenotypes in relation to other drugs use: latent class analyses from the Sao Paulo Megacity Mental Health Survey.

Camila Magalhães Silveira, João Maurício Castaldelli-Maia, Erica Rosanna Siu, Maria Carmen Viana, Yuan-Pang Wang, Laura Helena Andrade

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999), 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

6 authors.

Camila Magalhães SilveiraNúcleo de Epidemiologia Psiquiátrica (LIM 23), Departamento de Psiquiatria, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
João Maurício Castaldelli-MaiaNúcleo de Epidemiologia Psiquiátrica (LIM 23), Departamento de Psiquiatria, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Erica Rosanna SiuNúcleo de Epidemiologia Psiquiátrica (LIM 23), Departamento de Psiquiatria, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Maria Carmen VianaPrograma de Pós-Graduação em Saúde Pública, Departamento de Medicina Social, Centro de Ciências Sociais, Universidade Federal do Espirito Santo, Vitória, ES, Brazil.
Yuan-Pang WangNúcleo de Epidemiologia Psiquiátrica (LIM 23), Departamento de Psiquiatria, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Laura Helena AndradeNúcleo de Epidemiologia Psiquiátrica (LIM 23), Departamento de Psiquiatria, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.

Funding

Risk Factors for Psychopathology in the WHO WMH SurveysR01MH070884 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2005 to 2009
$6.0M
Social Role Disability and Mental-Physical Co-MorbidityR01MH069864 · NIMH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI VON KORFF, MICHAEL R · 2004 to 2007
$2.2M
CROSS-NATIONAL STUDIES OF DRUG INVOLVEMENT: WMH2000R01DA016558 · NIDA · MICHIGAN STATE UNIVERSITY · PI ANTHONY, JAMES CHRISTOPHER · 2003 to 2008
$1.7M
World Mental Health Consortium Annual Meeting 2003-07R13MH066849 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HEERINGA, STEVEN G · 2003 to 2007
$735k
Lebanon-Epidemiology: The NCS Replication StudyR03TW006481 · FIC · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KESSLER, RONALD C · 2004 to 2006
$142k
FIC NIH HHS R03 TW006481Fundação de Amparo à Pesquisa do Estado de São Paulo 11/50517-4, 12/01280-4NIDA NIH HHS R01 DA016558NIMH NIH HHS R01 MH069864NIMH NIH HHS R01 MH070884NIMH NIH HHS R13 MH066849
6 · The paper itself

Abstract

objectiveCannabis is the most widely used substance in Brazil. This study examined subtypes of individuals who use cannabis based on usage characteristics and correlates with use of other substances and harms.

methodsData are from the São Paulo Megacity Mental Health Survey (n=5,037). Latent class analysis (LCA) was performed considering age of onset, use frequency, tobacco consumption, heavy episodic drinking (HED), alcohol use disorder (AUD), and substance use disorder. Logistic regression assessed class correlates, and a further analysis compared sociodemographic, health, and behavioral indicators.

resultsA four-class model was optimal for 496 individuals. The Polydrug class (26.2%) and the Former class (5.9%) showed earlier onset and highest frequency of cannabis use, with strongest harm associations. The Polydrug class had higher odds of other drug use (OR = 3.0), tobacco use (OR = 2.5), HED (OR = 1.8), and AUD (OR = 1.5), compared to lighter-use groups. About 30% of those who use cannabis are at increased risk for negative outcomes, particularly those with early, frequent, and polydrug use patterns.

conclusionBrazil's public health should prioritize targeted prevention of the risks associated with early and frequent cannabis and polydrug use. Addressing this at-risk group is essential for harm reduction and a health-focused approach.

Indexed as

Marijuana AbuseMarijuana UseSubstance-Related DisordersAdolescentAdultBrazilFemaleHealth SurveysHumansLatent Class AnalysisMaleMiddle AgedPhenotypeRisk FactorsSociodemographic FactorsSocioeconomic Factorsbinge drinkingCannabis-related disorderepidemiologic studiessubstance-related disorders

Identifiers

PMID40090019
PMCPMC12815395

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.