The association between reasons for first using cannabis, the later pattern of use, and risk of First-Episode psychosis: the Eu-gei cases control study

Edoardo Spinazzola1,* , Diego Quattrone2,3,4,* , Victoria Rodriguez1, Giulia Trotta2 , Luis Alameda1,5,6 , Giada Tripoli1,7 ,Charlotte Gayer-Anderson8 , Tom P Freeman9,10, Emma C Johnson11, Hannah E Jongsma12, Simona Stilo1,13, Caterina La Cascia7, Laura Ferraro7, Daniele La Barbera7, Antonio Lasalvia14, Sarah Tosato14, Ilaria Tarricone15, Giuseppe D’Andrea15, Michela Galatolo15, Andrea Tortelli16,17,Ilaria Tagliabue18,19, Marco Turco18, Maurizio Pompili20, Jean-Paul Selten21,22, Lieuwe de Haan23, Paulo Rossi Menezes24, Cristina M Del Ben24,Jose Luis Santos25, Manuel Arrojo26, Julio Bobes27, Julio Sanjuán28, Miguel Bernardo29, Celso Arango30, James B Kirkbride31, Peter B Jones32,33, Michael O’Donovan34, Bart P Rutten22, Jim Van Os1,21,35, Craig Morgan8, Pak C Sham36, Isabelle Austin-Zimmerman2, Zhikun Li2, Evangelos Vassos2, EU-GEI WP2 Group1, Robin M Murray1 and Marta Di Forti2,4,37


A meta-analysis including cross-sectional and longitudinal studies has shown that heavy cannabis use is associated with a 4-fold increase in the risk of psychosis (Marconi, Di Forti, Lewis, Murray, & Vassos, 2016). Moreover, a higher incidence of psychotic disorders was reported in regions with a higher prevalence of daily use and greater availability of high-potency cannabis (Di Forti et al., 2019). The average proportion of delta-9-tetrahydrocannabinol (THC) in the cannabis available in international markets increased from 1970 to 2017 (Freeman et al., 2021). Two studies conducted in Denmark found that an increase in the use and potency of cannabis in the population during the past two decades was accompanied by a noticeable increase in the incidence of cannabis-induced psychosis (Hjorthoj, Larsen, Starzer, & Nordentoft, 2021a), and a 3- to 4-fold increase in the proportion of cases of schizophrenia associated with cannabis use disorder (CUD) (Hjorthoj, Posselt, & Nordentoft, 2021b). Moreover, a recent within-person analysis – where each participant serves as their control – found that cannabis is likely to have a causal impact on psychosis, but not the other way around (van Os et al., 2021). 

Some argue that the association between cannabis use and psychotic disorders can be explained as an attempt to ‘self-medicate’ by those who experience sub-clinical psychosis, trying to relieve existing subthreshold psychotic symptoms (Khantzian, 1985). However, most studies report that patients with psychosis use cannabis for the same reasons as the general population, such as for the pleasurable effects and social reasons rather than to self-medicate (Dekker, Linszen, & De Haan, 2009; Dekker et al., 2010; Green, Kavanagh, & Young, 2004; Kolliakou, Joseph, Ismail, Atakan, & Murray, 2011; Pérez, Santacana, Baquero, & Pérez-Solà, 2014). 

While some studies have examined why people use cannabis and whether the subjective effects of cannabis differ between patients with their first episode of psychosis and controls (Bianconi et al., 2016; Dekker, Koeter, Van Den Brink, & Investigators, 2012; Dekker et al., 2009; Peters et al., 2009), an accurate search of the literature (see online supplementary) indicated little evidence on the reasons for the first use of cannabis (RFUC). Moreover, it is not clear if RFUC explains later patterns of use, or if RFUC differs between those who later develop psychosis and healthy controls. This is the first study that uses data from a large multisite first-episode psychosis (FEP) case-control design and aims to examine (1) the socio-demographic factors associated with RFUC and (2) which RFUC, among cannabis users, is associated with harmful patterns of cannabis use and with an increased risk for psychotic disorders. 



This investigation is based on the European network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI study,, a multicentre incidence and case-sibling-control study of genetic and environmental determinants of a psychotic disorder (Gayer-Anderson et al., 2020; Jongsma et al., 2018) consisting of first-episode psychosis patients (FEPp) and population-based controls recruited between 2010 and 2015, who provided information on cannabis use (Gayer-Anderson et al., 2020). Both FEPp and controls were collected in 17 catchment areas in six countries: Southeast London, Cambridgeshire, and Peterborough (England); central Amsterdam, Gouda, and Voorhout (the Netherlands); part of the Veneto region, Bologna municipality, city of Palermo (Italy); 20th Arrondissement of Paris, Val-de-Marne, Puy-de-Dôme (France); Madrid (Vallecas), Barcelona, Valencia, Oviedo, Santiago, Cuenca (Spain); and Ribeirão Preto (Brazil). 


All patients presenting with FEP who were referred to mental healthcare services within the 17 catchment areas were identified by trained researchers. Patients were included in the current study if they were aged 18–64 years and residents within the study areas at the time of their first presentation and if they presented with a clinical diagnosis for an untreated FEP (International Statistical Classification of Diseases, Tenth Revision (ICD-10) codes F20– F33). Exclusion criteria were: (a) previous contact with psychiatric services for psychosis; (b) evidence of psychotic symptoms precipitated by an organic cause; and (c) transient psychotic symptoms resulting from acute intoxication, as defined by the ICD-10 (codes F1X.5). Controls were recruited using quota sampling based on local census data to ensure samples representativeness in each catchment area’s population at risk in terms of age, gender, and ethnicity. Inclusion criteria for controls were: (a) aged between 18 and 64 years; (b) resident within the catchment areas at the time of consent into the study; (c) sufficient command of the primary language at each site to complete the assessments; and (d) no current or past psychotic disorder. The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All participants who agreed to take part in the study provided informed, written consent; and ethical approval was provided by research ethics committees in each site: South London and Maudsley and Institute of Psychiatry Research Ethics Committee; National Research Ethics Service Committee East of England–East Cambridge; Medisch-Ethische Toetsingscommissie van het Academisch Centrum te Amsterdam; Comité Ético de Investigación Clínica Hospital Gregorio Marañón; Comité Ético de Investigación Clínica del Hospital Clinic de Barcelona; Comité Ético de Investigación Clínica del Hospital Clinic Universitari de Valencia; Comité Ética de la Investigación Clínica del Principado de Asturias; Comité Ético de Investigación Clínica de Galicia; Comité Ético de Investigación Clínica del Hospital Virgen de la Luz de Cuenca; Comité de Protéction des Personnes–CPP Île de France IX; Comitato Etico Policlinico S Orsola Malpighi; Comitato Etico Azienda Ospedaleria Universitaria di Verona; Comitato Etico Palermo 1, Azienda Ospedaliera Policlinico ‘Paolo Giaccone’; and Research Ethics Committee of the clinical Hospital of Ribeirão Preto Medical School, University of São Paulo, Brazil. Further information on the general study methods is available in the EU-GEI core paper on the description of the objectives and main aspects of the study (Gayer-Anderson et al., 2020). 

Measures and assessments 

Data on age, gender, and self-reported ethnicity were collected using a modified version of the Medical Research Council Sociodemographic Schedule (Mallett, Leff, Bhugra, Pang, & Zhao, 2002). Diagnoses of psychotic disorders were confirmed using the OPerational CRITeria (OPCRIT) system (McGuffin, Farmer, & Harvey, 1991; Williams, Farmer, Ackenheil, Kaufmann, & McGuffin, 1996), which was completed by centrally trained investigators whose inter-rater reliability was assessed throughout the study (κ = 0.7). Family history of mental illness and parental history of psychosis were collected using the Family Interview for Genetic Studies questionnaire (Maxwell, 1992). Finally, the Intelligence Quotient (IQ) score was derived using the short form of the WAIS-III (IQ), including selected items of the following subtests: digit symbol coding (a measure of processing speed), arithmetic (working memory), block design (visuospatial processing), and information (verbal knowledge) (Tripoli et al., 2021). Detailed information on cannabis use was collected using the latest version of the Cannabis Experiences Questionnaire (Barkus, Stirling, Hopkins, & Lewis, 2006), for the EU-GEI study (CEQEU −GEI). Consistently with Di Forti et al. (2019), we used the combined measure of frequency and type of cannabis used derived from the following variables: (1) Frequency of use: never or occasional = 0, more than once a week = 1, daily = 2; (2) low potency cannabis with less than 10% of THC = 0, high potency THC 10% 

Psychological Medicine

Figure 1. Overlapping reported RFUC in cases and controls. 

or greater = 1 (see online supplementary materials for a detailed description of this variable). This combined measure was used to define the harmful pattern of use and coded as follows: occasional use with any potency of use = 1, more than once a week and low potency = 2, more than once a week and high potency = 3, daily or almost and low potency = 4, daily or almost and high potency = 5 (see online supplementary). Age at first cannabis use was considered as a continuous numerical variable. The information on RFUC was derived from the responses to the question ‘Why did you first try cannabis?’ in the form of the following multiple-choice: (a) my friends were using it; (b) my family members were using it; (c) to feel better (to get relief from either physical or psychological discomfort) and (d) other. Subjects were able to provide up to 4 RFUCs. 

Statistical analysis 

We compared the number of different reported RFUC in cases and controls, also taking into account the overlapping answers. T-test (Mann–Whitney where appropriate) and χ2 in STATA16 were used to test for association between socio-demographics and IQ with RFUC. Only the variables associated with RFUC were included as covariates in the Path analyses. We conducted unadjusted and adjusted logistic regressions using STATA-16 to examine whether RFUC was associated with FEP case–control status, adjusting for IQ score, gender, age at first cannabis use, ethnic minority status, and the harmful pattern of cannabis use. We conducted the analysis in stages to test four models. Model A examined the unadjusted associations between different RFUC and FEP case–control status. Model B examined the associations after adjusting for the harmful patterns of use. Model C additionally adjusted for age at first cannabis use. Lastly, model D additionally adjusted for ethnic minority status, IQ score, and gender. We compared the statistical fit of the four models using Log-Likelihood (LL), Akaike information criteria (AIC), and Bayesian information criteria (BIC). Path analysis (Stage, Carter, & Nora, 2004) was run in STATA-16 to test the hypothesised direction in the relationship between multiple RFUC as predictors, with (1) pattern of cannabis use and (2) FEP case–control status. In the regression analyses and in the path model, we included the participants who reported to have used cannabis either because of ‘friends’, ‘family’, or ‘to feel better’. 


Socio-demographic characteristics 

Participants were recruited and consented to the study between May 1, 2010, and April 1, 2015. The 20th arrondissement of Paris was the only one that did not contribute to the recruitment of population controls; hence, it was excluded from the analyses. As in a previous EU-GEI paper (Di Forti et al., 2019), we also excluded Verona, Santiago, Oviedo, Valencia, and Cuenca because they had at least 10% of data missing on the measures of cannabis use. This left 901 FEPp and 1235 controls (see recruitment flow chart in the online supplementary materials) 585 FEPp (64.93%) and 574 (46.4%) of the controls reported lifetime cannabis use. Among these, 27 FEPp (4.62%) and 7 controls (1.22%) were excluded because of missing data on RFUC. Therefore, the sample resulted in a total size of 558 FEPp and 567 controls.  We found that, among users, 488 (86.1%) controls and 422 (75.63%) FEPp reported RFUC because of ‘friends’, while 38 (6.70%) controls and 69 (12.37%) FEPp reported RFUC because of their ‘family’ members; 33 (5.82%) controls and 112 (20.07%) of FEPp started ‘to feel better’, and 159 (28.04%) controls and 218 (39.07%) of FEPp because of ‘other’ reasons. See Fig. 1 for detailed information on the overlapping answers for this variable. 

Cannabis users who reported RFUC because of ‘friends’ did not show any association with the socio-demographic variables assessed. However, those who reported RFUC ‘to feel better’ were more often from ethnic minorities  (χ2(1) = 13.67; p < 0.001) and had lower IQ scores (U = 6.66; p < 0.001). Similarly, those who reported RFUC because of their ‘family’ members, were more often from ethnic minorities (χ2(1) = 7.97; p = 0.005) and had lower IQ scores (U = 3.11; p = 0.002). Lastly, those who reported RFUC ‘other’ reasons were more likely to be male (χ2(1) = 8.65; p = 0.003) and were more often from ethnic minorities (χ2(1) = 4.43; p = 0.035; Table 1) FEPp were more likely to belong to ethnic minority groups (χ2(1) = 62.37; p < 0.001) and had lower IQ (U = 14.97; p < 0.001) compared to controls (see online supplementary materials). 

Logistic regressions

In the regression and in the path models, we included the participants who reported that they had used cannabis either because of ‘friends’, ‘family’, or ‘to feel better’, thus excluding 59 controls (10.41%) and 83 cases (14.87%) who reported ‘other’ as their RFUC. This resulted in a final sample of 475 FEPp and 508 controls with a complete dataset on reasons to start using cannabis. The Model A unadjusted logistic regression indicated that RFUC because of ‘friends’ was negatively associated with being a FEP (OR 0.58; 95% CI 0.43–0.79), while those reporting RFUC because of ‘family’ members (OR 1.59; 95% CI 1.03– 2.44) or ‘to feel better’ (OR 3.86; 95% CI 2.56–5.82) were more likely to become FEPp. In Model B, after controlling for the harmful patterns of use, RFUC because of ‘family’ members was no longer associated with FEP case–control status, while RFUC because of ‘friends’ was still associated with being a control (OR 0.64; 95% CI 0.45–0.91) and RFUC ‘to feel better’ was still associated with being a FEPp (OR 2.60; 95% CI 1.67–4.04). In Model C, after additionally adjusting for age at first cannabis use, the results remained consistent with Model B for both RFUC because of ‘friends’ (OR 0.62; 95% CI 0.44–0.88) and ‘to feel better’ (OR 2.63; 95% CI 1.69–4.10). In Model D, additionally adjusting for ethnic minority status, IQ score, and gender, RFUC because of ‘friends’ (OR 0.56; 95% CI 0.37–0.83) and ‘to feel better (OR 1.74; 95% CI 1.03–2.95) were still associated with FEP case-control status (See Table 2).

Path analysis

The path model had a good fit to the data: root mean square error of approximation (RMSEA) = 0.040, comparative fit index (CFI) = 0.99 (Fig. 2). RFUC because of ‘friends’ was associated with being a control (β = −0.08; p = 0.002), while ‘to feel better’ was associated with being a FEPp (β = 0.07; p = 0.014) (see Table 3 for direct associations). Lower IQ scores were indirectly associated with RFUC ‘to feel better’ (β = −0.19; p⩽0.001), with a younger age at first cannabis use (β = 0.11; p = 0.001), harmful pattern of cannabis use (β = −0.16; p⩽0.001) and were directly associated with being a FEPp (β = −0.36; p⩽0.001). On the contrary, higher IQ scores were associated with RFUC because of ‘friends’ (β = 0.07; p = 0.043), which was negatively associated with age at first cannabis use (β = −0.10; p = 0.002).

Both RFUC because of ‘family’ (β = 0.09; p = 0.003) and ‘to feel better’ (β = 0.15; p⩽0.001) were associated with a more harmful pattern of cannabis use, the latter also with being a FEPp. See Table 3 for direct and indirect associations.

Psychological Medicine Table 2. Unadjusted and adjusted associations between RFUC and case-control status 

Model A R (95% CI)    Adjustment   Model B for harmful pattern OR (95% CI) Case–control  of use outcome  Model C Plus adjustment for age at first cannabis use   Model D Plus adjustment for et minority status and IQ    hnic score 
Friends 0.58 (0.43–0.79) 0.64 (0.45–0.91) 0.62 (0.44–0.88) 0.56 (0.37–0.83) 
Family 1.59 (1.03–2.44) 1.12 (0.69–1.82) 1.12 (0.69–1.81) 0.99 (0.57–1.73) 
Better 3.86 (2.56–5.82) 2.60 (1.67–4.04) 2.63 (1.69–4.10) 1.74 (1.03–2.95) 

Model A: unadjusted associations; Model B: adjusted for a harmful pattern of use; Model C: adjusted for a harmful pattern of use and age at first cannabis use; Model D: adjusted for a harmful pattern of use, age at first cannabis use, ethnic minority status, and IQ score. 

Figure 2. Direct and indirect pathways between IQ, ethnicity, RFUC, and case–control status. Significant pathways are signified by solid arrows and *; nonsignificant pathways are represented by dotted lines. Model fit: χ2 = 12.50, RMSEA = 0.040, comparative fit index CFI = 0.99.. 


Principal findings

To the best of our knowledge (see online supplementary materials for details of literature search), this is the first study to examine what reasons underlie first using cannabis and if these reasons are associated with later patterns of cannabis use and the risk to develop a psychotic disorder.

First, our findings indicate that having friends who use cannabis is the most common reason to start using cannabis among both those with FEPp and the controls; although a higher proportion of FEPp than controls reported ‘to feel better’ as their RFUC (Fig. 1). Second, we provide the first evidence that (a) compared to those who RFUC with ‘friends’, those who reported starting ‘to feel better’ as their RFUC are much more likely to pro- gress to daily use of high potency cannabis; and (b) those who started to use cannabis because of their ‘friends’ are more likely to have started their use earlier in their life (Table 3).

Limitations and strengths

Our findings need to be appraised in the context of some limitations. Firstly, the data on cannabis use were collected retrospectively based on self-report. Therefore, they may be open to recall bias. However, studies comparing laboratory data and self-reported information have shown that cannabis users reliably report their frequency of use as well as the type of cannabis they use (Buchan, Dennis, Tims, & Diamond, 2002; Freeman et al., 2014). While it is possible that FEPp are more likely, compared to controls, to retrospectively report ‘to feel better’ as an RFUC to justify their daily use leading to recall bias, the category ‘to feel better’ includes relief from both physical and psychological discomfort, therefore it is not intended to capture self-medication from prodromal symptoms. Moreover, a previous study has shown that cannabis use is associated with an increased risk of psychosis even after adjustment for baseline prodromal symptoms (Mustonen et al., 2018). A recent study pointed out that some people might use cannabis to ameliorate anxiety and depressive symptoms (Radhakrishnan et al., 2022). However, the evidence suggests that cannabis use may increase the risk of developing depression and suicidality (Gobbi et al., 2019). A recent large online survey including responses from 27 169 participants from Canada and the USA, showed that 53% of people using cannabis to relieve physical dis- comfort reported using it to alleviate pain, followed by difficulties with sleep and headache/migraine as reasons to use (Leung et al., 2022). These are physical complaints persisting in nature and it is plausible that the attempt to alleviate them might lead to regular rather than occasional use.

Thirdly, although pathway analysis tests causal inferences and linkages among variables in the context of an apriori conceptual model, causation cannot be implied. Despite the validity of path analysis in cross-sectional studies has been confirmed (Etain et al., 2017; Kwok, Cheung, Jak, Ryu, & Wu, 2018; Martin, 2011), prospective longitudinal studies will be required to confirm the detected associations, which nevertheless, in our study clearly places first use of cannabis on average at least a decade before the psychosis onset. Furthermore, this is a FEPp-control study which is less likely to lead to recall bias because the participants are recruited near the onset of their psychosis illness. 

Finally, the data presented here were collected from a control sample representative of each site’s local population at risk (Gayer-Anderson et al., 2020) and from a subset of FEPp representative of the larger incidence sample recruited from each site Mental Health services over the study period (Jongsma et al., 2018). Thus, our findings have the important strength of describing the RFUC reported by individuals with and without psychosis, from different ethnicities across different geographical areas, and are therefore generalizable. Moreover, the use of matched controls might have masked the association between sociodemographic variables with RFUC and the pattern of cannabis use. 

Table 3. Panel A: Standardised Probit Coefficients (β) for the indirect pathways to psychosis with RFUC and pattern of cannabis use as mediators; Panel B Standardised Probit Coefficients (β) for the direct pathways to psychosis 

Note: β, Probit coefficient; SE, Standard error; p, probability; N/A, Not applicable. 

Comparison with previous research 

Previous research indicated that earlier age at first use is more likely to progress to longstanding use, resulting in overall greater exposure to cannabis (Radhakrishnan, Wilkinson, & D’Souza, 2014). Furthermore, data have suggested that individuals who start using cannabis early in adolescence may be at the most risk to develop psychotic disorder (Arseneault et al., 2002; Dragt et al., 2010; Korver et al., 2010); one study suggested they might ‘self- medicate’ with cannabis to alleviate initial symptoms (Ferdinand et al., 2005). In contrast, our findings do not show an association between RFUC to ‘feel better’ and starting to use cannabis early in adolescence, which might be explained by our category ‘to feel better’ referring to relief not only of psychological but also physical discomfort. A recent study, in fact, shows how cannabis use for medical reasons is more common among young adults and older age groups rather than adolescents (Leung et al., 2022). Instead, we found that those who reported a younger age at first cannabis use were more likely to have started using cannabis ‘with friends’ compared to the other groups. This is in line with previous evidence looking at reasons to use cannabis which reports social context as the main reason for use (Kolliakou et al., 2011). The high number of cannabis users who start ‘with friends’ is in accord with previous findings indicating that cannabis users with psychosis have better premorbid social functioning compared to patients with psychosis not using cannabis (Ferraro et al., 2021; Ferraro et al., 2020; Ferraro et al., 2013). A possible explanation for this is that cannabis-using patients with psychosis are more socially skilled and therefore able to obtain the substance than those who are neuro develop- mentally impaired (Murray et al., 2017). We found no evidence that those who report RFUC ‘to feel better’ are more likely to start using cannabis close to their age of psychosis onset.  RFUC because of ‘family members’ is associated with a more harmful pattern of use. This suggests that targeting the family environment could play an important role in delivering interventions for substance misuse and also to disseminate educational messages about the risk associated with cannabis use and its harmful effects on mental health. The existing evidence clearly indicates that daily use especially of high-potency cannabis is robustly associated with an increased probability to develop a psychotic disorder (Di Forti et al., 2009, 2015, 2019). While we cannot separate those seeking relief from physical or psychological discomfort, our data suggest that starting to use cannabis ‘to feel better is more likely to progress to daily use of high-potency cannabis and to later suffer a first episode of psychosis. 

In conclusion, while only a minority of cannabis users devel- ops psychosis, understanding what drives people to first use cannabis can provide valuable data on (a) how to identify those more likely to develop a harmful pattern of use and design interventions for harm reduction or use cessation tailored to the individual’s needs, (b) provide support and close monitoring to those using cannabis for medical reasons to minimize the risks associated with regular use, and (c) design better public health campaigns that are able to reach the individual in the social and family context where first use is most likely to begin. 

Supplementary material. The supplementary material for this article can be found at

Data. The data that support the findings of the study is available on request from the corresponding author, E.S. 

Author contributions. E. S., D. Q., V. R., M. D. F., and R. M. contributed to the conceptualization and design of the study. E. S., D. Q., M. D. F., and 

R. M. took part in the interpretation of the data and wrote the first draft. All other authors contributed to the revision of the manuscript. They also read and approved the final manuscript. 

Financial support. This study was funded by the Medical Research Council, the European Community’s Seventh Framework Program grant (agreement HEALTH-F2-2009-241909 (Project EU-GEI), Sao Paulo Research Foundation (grant 2012/0417-0), the National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) at South London and Maudsley NHS Foundation Trust and King’s College London, the NIHR BRC at University College London, and the Wellcome Trust (grant 101272/Z/12/Z). ES was supported by Lord Leverhulme’s Charitable Trust and the Velvet Foundation and by the Medical Research Council (MRC) – UKRI [MR/T007818/1]. MDF and GT are supported by the Medical Research Council (MRC) – UKRI [MR/ T007818/1]. DQ is supported by MRC/UKRI CARP (MRC CARP grant MR/ W030608/1). Dr. Kirkbride is supported by the National Institute for Health Research (NIHR) University College London (UCL) Biomedical Research Centre (BRC). Dr. Emma Johnson receives funding from NIDA: K01DA051759. 

Conflict of interest. J Bobes has received research grants and served as a consultant, advisor, or speaker for AB-Biotics, Acadia Pharmaceuticals, Ambrosseti-Angelini, Casen Recordati, D&A Pharma, Exeltis, Gilead, Indivior, Janssen-Cilag, Lundbeck, Mundipharma, Otsuka, Pfizer, Roche, Sage Therapeutics, Servier, Schwabe Farma Ibérica, Shire, Takeda, research funding from the Spanish Ministry of Economy and Competitiveness –Centro de Investigación Biomedica en Red area de Salud Mental (CIBERSAM) and Instituto de Salud Carlos III-, Spanish Ministry of Health, Social Services and Equality – Plan Nacional sobre Drogas outside of the submitted work. M Bernardo has been a consultant for, received grant/research support and honoraria from, and been on the speakers/advisory board of AB-Biotics, Adamed, Angelini, Casen Recordati, Janssen-Cilag, Menarini, Rovi, and Takeda. C Arango reports personal fees from Acadia, Ambrosseti, Gedeon Richter, Janssen Cilag, Lundbeck, Merck, Otsuka, Roche, Servier, Shire, Schering Plough, Sumitomo Dainippon Pharma, Sunovion, and Takeda; and grants from CIBERSAM, Familia Alonso, Fundacion Alicia Koplowitz, the European Commission, the Spanish Ministry of Science and Universities, and the Comunidad de Madrid, during the conduct of the study. PB Jones reports personal fees from being a member of the scientific advisory boards for Janssen and Ricordati, outside of the submitted work. Prof Michael O’ Donovan is supported by a collaborative research grant from Takeda outside of the submitted work. R M Murray reports personal fees from Janssen, Lundbeck, Sunovion, and Otsuka, outside of the submitted work. M Di Forti reports personal fees from Janssen, outside the submitted work. All other authors declare no competing interests. 

EU-GEI Collaborators. Kathryn Hubbard1, Stephanie Beards1, Simona 

A. Stilo2, Mara Parellada3, David Fraguas3, Marta Rapado Castro3, Álvaro 

PANEL B. Direct pathways to psychosis  
  Predictor variables    β  Case–control status S.E.    p 
IQ scores −0.36  0.03  <0.001  
Ethnic minority status 0.07  0.03  0.017  
Friends −0.08  0.03  0.002  
Family −0.003  0.03  0.913  
To feel better 0.07  0.03  0.014  
Age at first cannabis use −0.03  0.03  0.324  
Frequency-potency of cannabis use 0.25  0.29  <0.001  
Andreu-Bernabeu3, Gonzalo López3, Mario Matteis3, Emiliano González3, Manuel Durán-Cutilla3, Covadonga M. Díaz-Caneja3, Pedro Cuadrado4, José Juan Rodríguez Solano5, Angel Carracedo6, Javier Costas6, Emilio Sánchez7, Silvia Amoretti8, Esther Lorente-Rovira9, Paz Garcia-Portilla10, Estela Jiménez-López11, Eva Velthorst12, Nathalie Franke12, Daniella van Dam12, Fabian Termorshuizen13,14, Nathalie Franke13, Elsje van der Ven13,14, Elles Messchaart14, Marion Leboyer15,16,17,18, Franck Schürhoff15,16,17,18, Stéphane Jamain16,17,18, Grégoire Baudin15,16, Aziz Ferchiou15,16, Baptiste Pignon15,16,18, Jean-Romain Richard16,18, Thomas Charpeaud18,19,20, Anne-Marie Tronche18,19,20, Pierre-Michel Llorca20, Flora Frijda21,22, Giovanna Marrazzo22, Lucia Sideli22, Crocettarachele Sartorio22,23, Fabio Seminerio22, Camila Marcelino Loureiro24,25, Rosana Shuhama24,25, Mirella Ruggeri26, Chiara Bonetto26, Doriana Cristofalo26, Domenico Berardi27, Marco Seri27, Alexander Richards28, and Aoife Coghlan29
1Department of Health Service and Population Research, Institute of Psychiatry, Kings College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK. 
2Department of Psychosis Studies, Institute of Psychiatry, King’s College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK. 
3Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), C/Doctor Esquerdo 46, 28007 Madrid, Spain. 4Villa de Vallecas Mental Health Department, Villa de Vallecas Mental Health Centre, Hospital Universitario Infanta Leonor / Hospital Virgen de la Torre, C/San Claudio 154, 28038 Madrid, Spain. 
5Puente de Vallecas Mental Health Department, Hospital Universitario Infanta Leonor / Hospital Virgen de la Torre, Centro de Salud Mental Puente de Vallecas, C/Peña Gorbea 4, 28018 Madrid, Spain. 
6Fundación Pública Galega de Medicina Xenómica, Hospital Clínico Universitario, Choupana s/n, 15782 Santiago de Compostela, Spain. 
7Department of Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), C/Doctor Esquerdo 46, 28007 Madrid, Spain. 
8Department of Psychiatry, Hospital Clinic, IDIBAPS, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Universidad de Barcelona, C/Villarroel 170, escalera 9, planta 6, 08036 Barcelona, Spain. 
9Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Avda. Blasco Ibáñez 15, 46010 Valencia, Spain. 
10Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de 
Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Julián Clavería s/n, 33006 Oviedo, Spain. 11Department of Psychiatry, Servicio de Psiquiatría Hospital “Virgen de la Luz”, C/Hermandad de Donantes de Sangre, 16002 Cuenca, Spain. 
12Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, 
Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands. 
13Rivierduinen Centre for Mental Health, Leiden, Sandifortdreef 19, 2333 ZZ 
Leiden, The Netherlands. 14Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands. 
15AP-HP, Groupe Hospitalier “Mondor”, Pôle de Psychiatrie, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France. 
16INSERM, U955, Equipe 15, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France. 
17Faculté de Médecine, Université Paris-Est, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France. 
18Fondation Fondamental, 40 Rue de Mesly, 94000 Créteil, France. 
19CMP B CHU, BP 69, 63003 Clermont Ferrand, Cedex 1, France. 
20Université Clermont Auvergne, EA 7280, Clermont-Ferrand 63000, France. 
21Etablissement Public de Santé Maison Blanche, Paris, France. 
22Department of Experimental Biomedicine and Clinical Neuroscience, Section of Psychiatry, University of Palermo, Via G. La Loggia n.1, 90129 Palermo, Italy. 23Unit of Psychiatry, “P. Giaccone” General Hospital, Via G. La Loggia n.1, 90129 Palermo, Italy. 24Departamento de Neurociências e Ciencias do Comportamento, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes, 3900 -Monte Alegre- CEP 14049-900, Ribeirão Preto, SP, Brasil. 
25Núcleo de Pesquina em Saúde Mental Populacional, Universidade de São Paulo, Avenida 
Doutor Arnaldo 455, CEP 01246-903, Ribeirão Preto, SP, Brasil. 
26Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Piazzale L. A. Scuro 10, 37134 Verona, Italy. 27Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater 
Studiorum Università di Bologna, Viale Pepoli 5, 40126 Bologna, Italy. 
28 Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK. 
29 Family Genomics Research Group, Department of Biology, Maynooth University, Maynooth, Ireland. 
1Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College of London, London, UK; 2Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London SE5 8AF, UK; 3National Institute for Health Research, Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College, London, UK; 4South London and Maudsley NHS Mental Health Foundation Trust, London, UK; 5Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne, University Hospital (CHUV), Lausanne, Switzerland; 6Centro Investigacion Biomedica en Red de Salud Mental (CIBERSAM); Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain; 7Biomedicine, Neuroscience and Advanced Diagnostic Department, Psychiatry Section, University of Palermo, Palermo, Italy; 8Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK; 9Addiction and Mental Health Group (AIM), Department of Psychology, University of Bath, Bath, UK; 10National Addiction Centre, Institute of Psychiatry, King’s College London, London, UK; 11Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA; 12Psylife Group, Division of Psychiatry, University College London, London, UK; 13Department of Mental Health and Addiction Services, ASP Crotone, Crotone, Italy; 14Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy; 15Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy; 16Institut Mondor de recherché biomedicale, Creteil, France; 17Etablissement Public de Sante Maison Blanche, Paris, France; 18Department of Medicine and Surgery, University of Milano Bicocca, Monza, Italy; 19Department of Mental Health and Addiction Services, ASST Lecco, Lecco, Italy; 20Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy; 21Rivierduinen Institute for Mental Health Care, Leiden, The Netherlands; 22Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands; 23Early Psychosis Section, AmsterdamUMC, Academic Medical Centre, University of Amsterdam, Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands; 24Department of Preventive Medicine, Faculdade de Medicina, Universidade of São Paulo, São Paulo, Brazil; 25Department of Psychiatry, Servicio de Psiquiatría Hospital “Virgen de la Luz”, Cuenca, Spain; 26Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain; 27Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain; 28Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Valencia, Spain; 29Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Institut d’Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain; 30Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain; 31Reader; Psylife Group, Division of Psychiatry, University College London, London, UK; 32Department of Psychiatry, University of Cambridge, Cambridge, UK; 33CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK; 34Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; 35Department Psychiatry, Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands; 36Department of Psychiatry, Centre for PanorOmic Sciences, and State Key Laboratory of Brain and Cognitive Sciences, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, China and 37Research Foundation, National Institute for Health Research Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London and the NIHR BRC at University College London, London, UK 
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Psychological Medicine 

Original Article 

*These authors contributed equally to this work. 

Cite this article: Spinazzola E et al (2023). The association between reasons for first using cannabis, later pattern of use, and risk of first-episode psychosis: the EU-GEI case–control study. Psychological Medicine 1–10. 

Received: 21 September 2022 

Revised: 23 January 2023 

Accepted: 3 April 2023 


Cannabis use; path analysis; psychotic disorders 

Corresponding author: 

Edoardo Spinazzola, 


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