REVIEW ARTICLE |
Academic Unit of Psychiatry, University of Bristol, and Department of Psychological Medicine, Cardiff University
Academic Unit of Psychiatry, University of Bristol
Department of Psychological Medicine, Imperial College London
Department of Psychiatry, Cambridge University
Department of Social Medicine, University of Bristol
Academic Unit of Psychiatry, University of Bristol, UK
Correspondence: Stanley Zammit, Department of Psychiatry, Cardiff University, Heath Park, Cardiff CF14 4XN, UK. Email: zammits{at}cardiff.ac.uk
P.B.J. and T.R.E.B. were both invited experts on the Advisory Council on the Misuse of Drugs Cannabis Review in 2005. A.L.-H. has received an honorarium from Sanofi-Aventis for attending a meeting about cannabinoid antagonists. S.Z., P.B.J., T.R.E.B., G.L. and A.L.-H. have all received honoraria for lectures and talks, or consultancy fees (for work unrelated to cannabis) from pharmaceutical companies.
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It is unclear if research findings support clinical opinion that cannabis use leads to worse outcomes in people with psychosis, or whether this impression is confounded by other factors.
Aims
To systematically review the evidence pertaining to whether cannabis affects outcome of psychotic disorders.
Method
We searched 10 relevant databases (to November 2006), reference lists of included studies and contacted experts. We included 13 longitudinal studies from 15 303 references. Data extraction and quality assessment were conducted independently and in duplicate.
Results
Cannabis use was consistently associated with increased relapse and non-adherence. Associations with other outcome measures were more disparate. Few studies adjusted for baseline illness severity, and most made no adjustment for alcohol, or other potentially important confounders. Adjusting for even a few confounders often resulted in substantial attenuation of results.
Conclusions
Confidence that most associations reported were specifically due to cannabis is low. Despite clinical opinion, it remains important to establish whether cannabis is harmful, what outcomes are particularly susceptible, and how such effects are mediated. Studies to examine this further are eminently feasible.
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Experimental studies and surveys of users provide evidence that cannabis intoxication can produce transient psychotic and affective experiences and can have detrimental effects on motivation and memory.2–4 Evidence from a recently conducted systematic review5 also indicates that cannabis may increase the incidence of psychotic outcomes, independently of intoxication effects. Given these effects on mental state, it seems plausible that continued use of cannabis following the onset of a psychotic disorder may increase the severity or duration of psychotic symptoms, decrease adherence to treatment and impair longer-term outcome.
One reason people with psychosis may use cannabis is that the perceived benefits such as a reduction in anxiety and increased sociability6,7 outweigh any perceived harmful consequences. However, it is also possible that the clinical impression of cannabis use resulting in a worse outcome in psychosis is confounded by other factors associated with poor prognosis such as alcohol or other illicit drug use.
Most studies that have examined the effects of substance use on psychosis have been either cross-sectional or case–control designs, but such approaches are limited, particularly in their ability to distinguish the direction of any associations observed. This ability to examine the direction of association is particularly important given the reports of increased cannabis use following onset of psychosis.8,9
In this review we examine the strength of evidence, from longitudinal studies, that cannabis use in people with psychosis impacts negatively on illness severity, adherence to treatment or other adverse outcomes, independently of the effects of alcohol and other drugs or other confounding factors.
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The following diagnostic groups were included for psychosis: schizophrenia, schizophreniform, schizoaffective or psychotic disorders, non-affective or affective psychoses, psychosis not otherwise specified (NOS), psychotic symptoms, delusions, hallucinations or thought disorder. Primary outcomes that we specified a priori as being markers of progression of disease and relevant to this review were: relapse, readmission, change in symptom scores (positive, negative or global psychopathology symptoms), harm to self or others (including violence, criminality, suicide attempts and mortality), non-adherence to treatment, engagement with services, employment, homelessness, social functioning, quality of life and patient or carer satisfaction.
Literature search
We searched the following databases from their inception to November 2006:
MEDLINE, EMBASE and the Cumulative Index to Nursing and Allied Health
Literature (CINAHL) on OVID; PsycINFO on WebSPIRS; ISI Web of Knowledge and
ISI Proceedings; Zetoc (British Library database of journal and conference
contents); BIOSIS on EDINA; Latin American and Caribbean Health Sciences
(LILACS); and Caribbean Health Sciences Literature (MedCarib). An experienced
research librarian (M.B.) and three investigators (G.L. T.H.M.M .and S.Z.)
developed the search strategy. We searched using the format ((psychosis OR
schizophrenia OR hallucinations OR delusions OR synonyms) AND (substance abuse
AND synonyms)), using text words and indexing (MeSH) terms (full details
available from the authors on request). The search was restricted to studies
on humans but not by language or publication status. We searched reference
lists of included studies, and wrote to experts in the field and study authors
to find other published and unpublished studies of relevance.
Study selection and data extraction
We examined all titles and abstracts, and obtained full texts of
potentially relevant papers. Working independently and in duplicate, we read
the papers to determine if they met our inclusion criteria using eligibility
record forms. At the abstract stage we had more lenient inclusion criteria and
included studies with broad descriptions of mental health problems and of drug
use. These papers were obtained in full, and rejected if the data were not
provided separately for people using cannabis or for people with psychotic
disorder as defined by our criteria. Where information was only available as
an abstract, authors were contacted for further information; if this was not
forthcoming then the study was excluded. Disagreements were resolved by
consensus, and data extracted independently and in duplicate.
Quality assessment
We assessed quality by recording how potential non-causal explanations,
particularly bias and confounding, were accounted for in each study. We
assessed information on sampling strategy, response rates, missing data,
attrition and attempts to address reverse causation, intoxication effects and
confounding. All relevant MOOSE (Meta-analysis Of Observational Studies in
Epidemiology)
guidelines10 were
followed.
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![]() View larger version (25K): [in a new window] [as a PowerPoint slide] |
Fig. 1 QUOROM (Quality of Reporting of Meta-analyses) flow chart.
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Results for the 13 studies are summarised in online Table DS1. Overall, of the 52 outcomes reported from these studies, cannabis was associated with statistical evidence of a worse outcome in 14, and a better outcome in 7 of these. There was no evidence of association in either direction for the other 31 outcomes. Seven studies looked at people with schizophrenia only (or related spectrum disorders), but the other six included people with other psychoses too. All of the seven associations with better outcomes in cannabis users were in studies that included individuals with any psychosis rather than specifically schizophrenia or related spectrum disorders.
The variety in outcome and exposure measure definitions used, as well as the content of statistical results presented, meant that it was not possible to pool results in a meta-analysis, and we therefore use a narrative synthesis to summarise the findings from this systematic review.
Excluded studies
We identified five studies of people with psychosis that did not meet all
our inclusion criteria but which we considered to be
`near-misses'.23–27
These were all longitudinal studies but they either presented data only from
cross-sectional analyses, or employed a measure of cannabis use that could
have included individuals increasing or initiating use secondary to the
outcome studied. All of these studies, including the seminal work by Linszen
et al,25
reported associations between cannabis use and worse outcomes. Further details
of these studies are available at
www.bristol.ac.uk/psychiatry/research/psychotic.html.
Results for relapse or rehospitalisation
We found four studies of relapse and three studies addressing
rehospitalisation. Two studies used definitions for relapse based on the Brief
Psychiatric Rating Scale (BPRS) scores; the
Brisbane9 study
reported a dose-response association between cannabis use (days per week) and
increased relapse of psychosis, and a strong association between cannabis
misuse and relapse was also reported in the Melbourne
study.11 Relapse
was also increased by cannabis use in the Navarra
study,17 with
evidence strongest for continued use during follow-up (64% relapse in
individuals using cannabis at baseline and follow-up compared with 17% in
non-users). Similarly, the Madrid-B study reported weak evidence for
association between cannabis dependence and increased
relapse.19 Neither
of these two latter study reports provided the definition of relapse used.
Cannabis misuse was associated with a greater rehospitalisation index (0.98 readmissions per year compared with 0.35 for the non-misuse group) in the Homburg study,20 and similarly with a greater number of admissions in the Madrid-B study.19 In the Navarra study, risk of readmission was similar in individuals who used cannabis regularly at baseline only, but not at follow-up, compared with controls (13% and 17% respectively), though there was some evidence for increased readmission in those using cannabis regularly both at baseline and at follow-up (43% v. 17%, P=0.08).17
Results for severity of symptoms
Overall we identified seven studies that examined psychopathology symptom
scores that included measures of psychosis, mood, aggression and cognitive
function. The
HGDH16 study, a
treatment trial of olanzapine v. haloperidol in first-episode
schizophrenia, and the Sydney-A
study21 were the
only studies to measure change in symptom scores from baseline to follow-up or
adjust for baseline scores.
Positive symptoms
In the Sydney-A
study,21 cannabis
use was associated with a small increase in BPRS score that persisted after
adjusting for prior BPRS scores. In the HGDH study, cannabis misuse was not
significantly associated with a change in the Positive and Negative Syndrome
Scale (PANSS) total score from baseline to follow-up in either of the two
trial arms of the
study.16 However,
change in score was less in both arms for the cannabis misuse group compared
with non-users, though no combined analysis of the two trial groups was
presented, thereby reducing statistical power.
Regular cannabis use at baseline was associated with increased level of positive symptoms at follow-up in the South London Hospitals study,14 and in the Homburg study20 cannabis misuse was associated with 2 of 12 symptom sub-scales examined (increased thought disturbance and hostility). Cannabis was not associated with the positive symptom sub-scale of the PANSS in the Madrid-B study19 or with scores on the Scale for the Assessment of Positive Symptoms (SAPS) in the Manchester study.15
Negative symptoms
Regular cannabis use was not associated with negative symptoms scores in
the South London
Hospitals,14 the
Manchester,15 or
the Homburg20
studies. However, an association between cannabis dependence and a reduced
score on the PANSS negative symptom scale at follow-up was observed in the
Madrid-B
study.19
Other measures
Cannabis misuse was not associated with depression score in the Sydney-A
study,21 with
anxiety or depression sub-scales used in the Homburg
study,20 or with
Overt Aggression Scale score in the Madrid-A
study.18
Neurocognitive ability at follow-up was greater on five out of nine sub-scales
in people who had used cannabis at baseline in the Manchester
study.15
Results for measures of response to treatment
A variety of other outcomes reflecting response to treatment were
investigated in these studies. These included symptom score defined response
to treatment,16
length of in-patient
stay,22 course of
illness,14 presence
of deficit
schizophrenia,15
global assessment scale (GAS)
score,20 service
contact,15
productivity or
employment,12,20
marital status,20
living alone20 and
quality of
life.12
In the South London Hospitals study14 there was some evidence that individuals who had used cannabis frequently at baseline had a more continuous course of illness than people who had not used cannabis regularly (crude odds ratio (OR)=2.4, 95% CI 0.9–6.9). Cannabis was not associated with treatment non-response in the HGDH study,16 or with service contact or GAS score in the Manchester15 and Homburg20 studies respectively.
In the Calgary study,12 cannabis use at baseline was associated with decreased levels of productivity or employment, as well as reduced quality-of-life measures at follow-up. There was suggestive evidence that people who used cannabis in the Homburg study20 were more likely to be single and less likely to be employed or living alone than individuals who did not use cannabis, though none of these associations were statistically significant.
Two studies also observed associations between cannabis use and improved outcomes; in the Manchester study15 a state of deficit schizophrenia was less common in people who had used cannabis at baseline compared with non-users, and in the Sydney-B study22 there was weak evidence that cannabis use at baseline was associated with a clinically important shorter duration of admission (13 days v. 21 days, P=0.07).
Results for adherence to treatment
Three studies examined cannabis use in relation to subsequent adherence to
treatment. In the Madrid-B
study19 cannabis
dependence at baseline was associated with non-adherence during follow-up. A
dose-response model of increasing baseline cannabis use in the CEPP
study13 was also
associated with increased levels of non-adherence in the crude analysis,
though this association was eliminated after adjustment for confounding.
Similarly in the Navarra
study,17 continued
cannabis use during follow-up (but not use of cannabis at baseline only) was
weakly associated with reduced adherence compared with non-users (36%
v. 67%, P=0.06).
Methodological quality of included studies
We assessed the degree to which the potential effect of confounding and
bias were minimised within each study (summarised in
Table 1). Although a number of
factors could have led to overestimation of the true causal association
between cannabis use and poorer outcomes of psychosis in these studies,
perhaps the most likely of these is confounding, particularly by use of
alcohol and other drugs; and baseline measures of illness severity and level
of functioning (that may have led to reverse causation effects).
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View this table: [in a new window] |
Table 1 Summary of quality of studies included for outcomes in psychosis
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Of the 13 studies included in this review, only five studies (Brisbane,9 Melbourne11, Navarra,17 Sydney-A21 and HGDH16) made any adjustment for measures of illness severity at baseline. Only three studies (Brisbane,9 Melbourne11 and Madrid-B19) adjusted for both alcohol and other drug use, though this was for only one of the five outcomes in the Madrid-B study. In the Homburg study20 some adjustment for alcohol and other drug use was done by exclusion of individuals mainly using drugs other than cannabis. In the Sydney-A study,21 alcohol and other drug use were excluded from the adjusted model as they were not associated with the outcome, and were therefore unlikely to have substantially confounded the relationship with cannabis. One study adjusted for alcohol use only (CEPP),13 and one other (Sydney-B)22 made some adjustment for other drug (but not alcohol) use.
A further potential mechanism by which overestimates of association may have resulted is by lack of masking of exposure status when assessing outcome. In fact, a statement that outcome measurement was performed masked to cannabis exposure was only evident in one of the studies (South London Hospitals).14 A summary of study quality issues in relation to the different outcomes studied is presented below.
Studies of relapse or rehospitalisation
Relapse of psychosis as defined for the
Brisbane9 and
Melbourne11 studies
(and as implied for the Navarra
study17) required a
change in symptom severity between baseline and follow-up, reducing, though
not eliminating, the possibility of confounding by factors related to illness
severity. Furthermore, in the Brisbane
study9 results were
adjusted for a wide range of potentially important confounders, including
baseline symptoms, alcohol and drug use, and measures of social functioning
and family environment. Results for the Melbourne
study11 were
adjusted for baseline symptoms and for alcohol and other drug use, and results
for the Navarra
study17 were
adjusted for adherence and life stresses.
None of the studies that examined rehospitalisation however made any adjustment for illness severity at the time of discharge from the index admission, or for markers of social function or socio-demographic status (apart for adjustment for age and gender in the Homburg study20).
Studies of symptom scores
For the studies that examined symptom scores as outcomes, only two studies
adjusted for baseline scores or examined change in scores from baseline to
follow-up
(Sydney-A21 and
HGDH16). None of
the five other studies reporting associations between cannabis and symptom
severity at follow-up took into account levels of symptom severity at
baseline. In the Manchester
study15 there was a
strong association between cannabis use and fewer neurological soft signs at
baseline, though this was not adjusted for in the associations reported with
neurocognitive outcomes.
Studies of response to treatment
With regard to measures of response to treatment, course of illness as
examined in the South London Hospitals
study14 implies
change of symptom severity during follow-up and adjustments for age, gender
and ethnicity were also made in this study. In the Manchester
study15 there were
no significant baseline differences in negative symptoms or social adjustment,
indicating that the association with deficit schizophrenia is perhaps unlikely
to be confounded by these. No adjustments for baseline severity of illness, or
any other confounders however were made in the Sydney-B
study,22 where a
weak association with length of in-patient admission was reported. Similarly
in the Calgary12
and Homburg20
studies, no adjustments were made for level of productivity or quality of life
at baseline, or for baseline marital, employment or accommodation status, when
examining for associations with these measures at follow-up.
Studies of adherence
The CEPP study13
results were adjusted for a wide range of potentially important confounders,
but no adjustment for any confounders in relation to this outcome was done in
the Madrid-B19 or
the Navarra17
studies.
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Use of cannabis was associated with increased relapse or rehospitalisation and with decreased treatment adherence fairly consistently across the studies that examined these outcomes. Associations between cannabis and psychotic symptoms or other psychopathology scores were more inconsistent, with only three studies presenting evidence of association with increased positive symptoms and one study reporting an association with decreased negative symptoms. Definitions for relapse in two studies9,11 were based on increases in positive symptoms scores however, and both of these studies found evidence that cannabis use led to increased relapse. Evidence for associations with other measures of treatment response was also quite discrepant, with some studies reporting negative outcomes of reduced quality of life, productivity or a more continuous illness course in people using cannabis, but other studies reported associations with positive outcomes including shorter in-patient stays and reduced deficit schizophrenia in cannabis users.
Examination of non-causal explanations for association
The most important consideration when attempting to interpret the findings
of this review is the methodological quality of the studies included in
relation to bias and confounding. Only four of the thirteen studies
(Brisbane,9
Melbourne,11
Sydney-A21 and
HGDH16) made any
attempt to adjust for baseline illness severity measures. Access to, and use
of cannabis, may be associated with premorbid level of functioning or illness
severity, both of which are also likely to be related to clinical outcome.
Furthermore, even basic socio-demographic characteristics such as social class or gender that are associated both with poor outcome28,29 and with cannabis use30,31 were only adjusted for in six of the studies. Most studies made no adjustment for alcohol or other drug use, though these are strongly associated with detrimental mental health outcomes32,33 and are therefore also likely to be confounders. They are also likely to serve as markers of other factors such as personality traits relating to risk taking and adherence with medical advice that could further confound the relationship between cannabis and outcome in psychosis. These methodological issues are particularly pertinent given that non-adherence is likely to result in poorer clinical outcomes generally.
Although some adjustment for confounding was undertaken in a number of studies, only the Melbourne,11 South London Hospitals14 and Sydney-A21 studies presented both crude and adjusted estimates that enable us to gauge the potential impact of confounding in these studies. Estimates were attenuated by between 15% and 80%, although only a limited number of potentially important confounders were adjusted for in these studies. Given that the range of confounders adjusted for was rather incomprehensive in most of the studies included in this review, confidence that the associations reported are specifically due to cannabis in these studies must therefore be rather low.
Clinical opinion has long been that use of cannabis results in a worse outcome in people with psychotic illnesses and the original study in this field by Linszen et al25 lent strong support to this view. This makes it particularly important that studies measure outcomes masked to cannabis exposure status to avoid overestimation of association due to observer measurement bias. The South London Hospitals study14 was the only study to report such masking.
Reverse causation was unlikely to have been a problem as we only included longitudinal studies in this review. The Calgary,12 CEPP13 and South London Hospitals14 studies however also included some results for measures of cannabis use at follow-up. Results for these measures (that showed stronger associations than for use at baseline only) were therefore omitted, as these associations could have resulted, in part, from reverse causation effects. On the other hand, results for individuals using cannabis at baseline but not at follow-up are likely to be underestimates of true effects of cannabis as they ignore the impact of continued use. However, following such a conservative approach for these studies seemed preferable in order to firmly establish direction of causality.
If cannabis is indeed a risk factor for causing psychotic illnesses5 then it is perhaps surprising that these studies of the effects of cannabis on clinical outcome are so inconsistent, especially as our assessment of methodological quality suggests that insufficient attention was paid to addressing overestimation of causal effects in these studies.
Possible reasons for lack of evidence for association
It is also possible that studies underestimated the true impact of cannabis
on the outcome of psychosis. Random misclassification of data is probably the
most likely reason for underestimation of association. In particular,
self-report measures of cannabis use are unlikely to accurately reflect the
dose of psychoactive cannabinoids available in the brain given variations in
potency of cannabis used, and amounts of cannabinoids inhaled and metabolised.
Misclassification in accuracy of reporting is also likely, although in the
Brisbane study9
self-reports of cannabis use (as used in the analyses) showed good reliability
with drug screens in a subsample of the cohort (Cohen's kappa=0.90). Repeated
and detailed assessment of cannabis exposure during the follow-up period, but
before outcome measurement, would help to reduce misclassification. However,
most studies to date have used rather limited assessments of cannabis
exposure, measured only before the follow-up period started.
Furthermore, loss to follow-up in cohort studies tends to be greater for individuals who have more severe mental health problems and for those with substance misuse. Such an effect of differential attrition would have led to underestimation of the strength of any association. The median loss to follow-up for these studies was 17% (range 0–38%), though the only study (Homburg20) that examined whether attrition was different for cannabis using and non-using groups reported minimal difference across the two groups.
Apart from the possible effects of bias, lack of statistical power could also have led to lack of evidence for associations in some of these studies. None of the studies that failed to observe associations between cannabis use and clinical outcomes presented power calculations. If we assume that 20% of patients with psychosis relapse over a 1-year period if they do not use cannabis and 40% relapse if they use cannabis regularly, and that 25% of patients use cannabis regularly, then a power calculation indicates that a sample size of over 250 people with psychosis is required to have 80% power to detect this effect. This calculation is based on a large difference in relapse rates between cannabis users and non-users, and yet only one of the studies included in this review meets this required sample size.
Finally, it is also possible that variation in the diagnostic composition of the participants with psychoses across different studies, as well as differences in the measures of clinical outcome and definitions of cannabis exposure, might partly explain the diverse and at times conflicting results reported. For example, all of the associations between cannabis use and better outcomes were in studies that included individuals with any psychotic diagnosis, while studies of people with schizophrenia or related spectrum disorders appear to show more consistent evidence for poorer outcomes in those using cannabis.
Limitations
Although we identified a large number of potential studies for inclusion,
most studies were not set up to directly address the aim of this review and
were not able to meet our criteria for inclusion. As well as the possibility
that we missed some studies during our searches, we excluded a large number of
studies by requiring studies to be of longitudinal design as these provide the
most reliable evidence for causal association in the absence of randomised
controlled trials. Furthermore, the rather insubstantial nature of what
constitutes a `poor clinical outcome' means that it is more difficult to
summarise results of studies in this review compared, for example, with
reviews where disease incidence is the studied outcome.
We also excluded a large number of studies that examined the effects of substance use in general rather than specifically use of cannabis. As cannabis is the most frequently used illicit substance in most countries it could be argued that results for substance use (that excludes alcohol or tobacco) mainly reflect the effects of cannabis. However, even in such situations, the possibility of strong confounding by other drugs remains. Furthermore, although uncommon, substance use may at times be dominated by stimulant drugs such as amphetamines or cocaine.34
Implications for future research and clinical practice
Given that psychoactive compounds within cannabis can cause or increase
psychotic experiences secondary to intoxication
effects,2,3
and independently of such
effects,5 it is very
plausible that cannabis might lead to increased positive symptoms and
subsequently relapse or rehospitalisation in people with psychosis. Indeed,
there is a widespread belief among psychiatrists that such a detrimental
effect does exist. We were surprised how little empirical evidence is
currently available to support this view. Our assessment of methodological
quality suggests that although insufficient attention was paid to addressing
overestimation of causal effects, low statistical power to observe
associations was also likely to have been present in many of the studies.
Despite the clinical consensus and the plausibility of harmful effects, we believe it is important to establish whether cannabis is harmful, and if so, what the size of any harmful effect is. Trials of interventions for reducing cannabis use in people with psychosis may provide stronger evidence of possible detrimental effects of this drug, as this would be independent of confounding effects.
We also need to know what kinds of outcome are particularly susceptible to the influence of cannabis; whether clinical, employment status or other aspects of social functioning. An understanding of the effects of different potency preparations as well as of pattern of exposure is also required. Comparing the effects of cannabis with other psychoactive drugs would enable clinicians and patients to prioritise harm reduction plans.
Although most of the associations reported were with markers of poorer clinical outcome, some studies also reported better outcomes in individuals using this drug. It is possible that cannabis has differential effects on different outcomes, for example worsening positive symptoms but improving negative ones. Further research on the specific effects of cannabis on such outcomes may help our understanding of aetiological mechanisms, further elucidate why some individuals with psychosis choose to use cannabis, and suggest approaches that might be used by clinicians to engage this problem. Understanding to what extent any associations are mediated through indirect pathways resulting in poor outcome, such as reduced adherence, may also enable more specific targeting of focused interventions to improve long-term care in people with psychotic disorders.
Insufficient empirical evidence exists at present to adequately examine whether cannabis use has detrimental effects on the outcome of psychotic disorders, or to determine the pathways by which such effects are mediated, although these are important and clinically relevant questions.
Future studies to address these uncertainties should be of longitudinal design, with repeated measures of psychopathology, use of cannabis, alcohol and other substances, as well as baseline measures of function, illness severity and other characteristics that are known to be associated with poorer outcome in schizophrenia. Appropriate analyses should ensure that reverse causation effects are minimised, for example by using time-lagged measures of cannabis use where repeated measures are available. Reporting of both crude and adjusted estimates, with specific reporting as to which specific confounders have the greatest impact on the results would aid design of future studies. Use of clearly defined diagnostic categories and a more universal approach to measures of cannabis exposure and outcomes (that are measured masked to exposure status) would further help with interpreting and summarising future study findings.
Unlike the situation that exists for examining causal effects of cannabis on incidence of psychosis, adequately powered longitudinal studies of outcome of people with psychosis should be, in comparison, relatively easy to carry out given the widespread availability of large clinical samples.
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This work was funded by the Department of Health, UK. S.Z. is funded through a Clinician Scientist Award funded by the National Assembly for Wales.
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