Introduction
Substance use in people with established schizophrenia is most likely to involve alcohol and cannabis (Condren et al. Reference Condren, O'Connor and Browne2001; Duke et al. Reference Duke, Pantelis, McPhillips and Barnes2001), and this profile is also seen in first-episode patients (Green et al. Reference Green, Tohen, Hamer, Strakowski, Lieberman, Glick and Clark2004; Barnes et al. Reference Barnes, Mutsatsa, Hutton, Watt and Joyce2006; Wade et al. Reference Wade, Harrigan, Edwards, Burgess, Whelan and McGorry2006). Even relatively low levels of such co-morbid substance use are associated with a poorer outcome, including greater risk of relapse and a worse response to first-generation antipsychotic medication (Drake & Brunette, Reference Drake, Brunette and Galanter1998; Hunt et al. Reference Hunt, Bergen and Bashir2002; Kavanagh et al. Reference Kavanagh, Waghorn, Jenner, Chant, Carr, Evans, Hemnan, Jablensky and McGrath2004). This seems to hold true for first-episode patients, even in the short term (Caspari, Reference Caspari1999; Sorbara et al. Reference Sorbara, Liraud, Assens, Abalan and Verdoux2003). The potential impact on cognitive function is less clear. As McCleery et al. (Reference McCleery, Addington and Addington2006) point out, while substance use in the general population can have a negative impact on cognitive function, studies of early schizophrenia have generally failed to find any relationship between substance use and neuropsychological functioning (Sevy et al. Reference Sevy, Robinson, Holloway, Alvir, Woerner, Bilder, Goldman, Lieberman and Kane2001; Pencer & Addington, Reference Pencer and Addington2003). More generally, it has been claimed that people with schizophrenia and substance use would have better social and cognitive functioning than those who are abstinent, greater resources of this kind being necessary to obtain substances and maintain substance use (Salyers & Mueser, Reference Salyers and Mueser2001; Sevy et al. Reference Sevy, Robinson, Holloway, Alvir, Woerner, Bilder, Goldman, Lieberman and Kane2001). Clinical studies addressing this association have yielded contradictory findings (Potvin et al. Reference Potvin, Briand, Proteau, Bouchard, Lipp, Lalonde, Nicole, Lesage and Stip2005; Barnes et al. Reference Barnes, Mutsatsa, Hutton, Watt and Joyce2006; McCleery et al. Reference McCleery, Addington and Addington2006).
The current study assessed substance use and tobacco use in first-episode schizophrenia at initial presentation to psychiatric services, and at follow-up. The aims of the study were:
(1) to ascertain the proportion of patients stopping, starting or continuing substance use and daily tobacco use subsequent to their initial presentation to psychiatric services with schizophrenia;
(2) to examine whether those with and without a history of substance use at baseline differed significantly in any aspects of clinical outcome, specifically symptoms and cognitive function, in the first year or so of treatment;
(3) to assess the impact of continued substance use on clinical response to treatment, neuropsychological performance and social function.
Method
Subjects
Subjects for this epidemiologically-based study were recruited as part of a prospective, longitudinal study of first-episode schizophrenia in West London. We have previously provided details of the design and entry criteria (Hutton et al. Reference Hutton, Puri, Duncan, Robbins, Barnes and Joyce1998). The patients eligible for this study were aged between 16 and 50 years, and most were seen at the time of their first admission to hospital. For each patient, a diagnosis of DSM-IV schizophrenia or schizophreniform disorder was confirmed at diagnostic review by two senior clinicians (E.M.J., T.R.E.B.).
Assessments
Reports of current alcohol and non-alcohol substance use were recorded using the Substance Use Rating Scale, patient version (SURSp; Duke et al. Reference Duke, Pantelis and Barnes1994, Reference Duke, Pantelis, McPhillips and Barnes2001), at baseline and follow-up. This scale initially elicits information about the use of legal drugs such as caffeine and nicotine, and identifies problem and dependent alcohol use. It then moves on to detailed questioning about the nature of current (within the past month) and previous substance use.
Mental state was assessed at both time points as follows. The Scales for the Assessment of Positive and Negative Symptoms (SAPS and SANS; Andreasen, Reference Andreasen and Andreasen1990) were used to obtain positive, disorganization and negative syndrome scores (Liddle & Barnes, Reference Liddle and Barnes1990) for each patient. The Comprehensive Psychopathological Rating Scale (CPRS; Asberg et al. Reference Asberg, Montgomery, Perris, Schalling and Sedvall1978) was also administered, from which a score for the 10-item Montgomery–Asberg Depression Rating Scale (MADRS; Montgomery & Asberg, Reference Montgomery and Asberg1979) was extracted. Severity of illness was assessed using the Clinician Global Impression scale (CGI).
Social function was assessed using the Social Function Scale (SFS; Birchwood et al. Reference Birchwood, Smith, Cochrane, Wetton and Copestake1990) at both time points. Individuals are asked about their abilities in seven areas of social function: activation-engagement, interpersonal communication, frequency of activities of daily living, competence at activities of daily living, participation in social activities, participation in recreational activities, and employment or occupational activity.
The Schedule for the Assessment of Insight (SAI; David, Reference David1990) was used at baseline to assess three dimensions of insight: awareness of illness, the ability to correctly attribute psychotic experiences, and the need for treatment.
Movement disorders were assessed at both baseline and follow-up, using three rating scales. The Abnormal Involuntary Movements Scale (AIMS; Guy, Reference Guy1976) was used to determine the presence of mild dyskinesia (rating of ‘mild’ in at least one body area), and tardive dyskinesia using Research Diagnostic Criteria (RDC): the presence of at least a ‘moderate’ rating in one or more body areas, or ‘mild’ movements in two or more body areas (Schooler & Kane, Reference Schooler and Kane1982). The Extrapyramidal Side Effects Rating Scale (EPSE; Simpson & Angus, Reference Simpson and Angus1970) was used to diagnose parkinsonism, the presence of the condition being defined as a total scale score of 3 or more. The Barnes Akathisia Rating Scale (BARS; Barnes, Reference Barnes1989) was used to identify akathisia, the criterion for the presence of the condition being a score of 2 or more on the global item.
Pre-morbid IQ was estimated with the National Adult Reading Test Revised (Nelson & Willison, Reference Nelson and Willison1991) at baseline. At baseline and follow-up, measures of recognition memory, spatial span, spatial working memory, Tower of London planning and attentional set shifting were obtained using the Cambridge Automated Neuropsychological Test Battery (CANTAB; Sahakian & Owen, Reference Sahakian and Owen1992), run on an IBM-compatible PC with a touch-sensitive screen. We have previously described the nature of these tests, the performance measures used and the derivation of the test scores in our patients (Hutton et al. Reference Hutton, Puri, Duncan, Robbins, Barnes and Joyce1998).
Detailed information on the medication regimen during the follow-up period was obtained from the patients and their clinical notes. This methodology has been described previously (Kapasi et al. Reference Kapasi, Hutton, Mutsatsa, Barnes and Joyce2004). Patients were divided into those prescribed second-generation (n=33) or first-generation (n=20) antipsychotics throughout the follow-up period and those whose medication had been inconsistent for various reasons (n=29), such as switching from one type of antipsychotic to another or receiving a combination.
Statistical methods
Data were analysed using SPSS version 14 (SPSS Inc., Chicago, IL, USA). Comparisons between groups on each of the measures were conducted using separate analyses of variance (ANOVAs) with appropriate post hoc tests, t tests or χ2 tests as indicated.
Results
Alcohol and drug use data were obtained at 1 year on 85 (56%) of the original 152 patients (Barnes et al. Reference Barnes, Mutsatsa, Hutton, Watt and Joyce2006) assessed at initial presentation to services. The median follow-up period was 14 months (range 5–102). Sixty-seven patients of the original cohort had missing data regarding the presence of substance use at follow-up due to being uncontactable (n=20), deceased (n=3) or refusing further study involvement (n=44). The 85 follow-up subjects did not differ significantly from the 67 subjects lost to follow-up on baseline variables of age at first presentation to services with schizophrenia, gender, history of substance use, syndrome scores, depression rating, severity of illness or social function (see Table 1, range of t values: −1.71 to 1.68; range of χ2 values: 0.32–2.71). In the subgroup of subjects with insight scores available, those lost to follow-up had a significantly lower mean SAI score at baseline (t=−2.40, df=88, p=0.018).
s.d., Standard deviation; M, male; F, female; IQ, intelligence quotient; CGI, Clinician Global Impression scale; MADRS, Montgomery–Asberg Depression Rating Scale; EPSE, Extrapyramidal Side Effects Rating Scale; BARS, Barnes Akathisia Rating Scale; AIMS, Abnormal Involuntary Movements Scale; RDC, Research Diagnostic Criteria.
* p<0.05.
Substance use and clinical outcome
Within the follow-up sample, those subjects with and without a report of lifetime substance use (drugs and/or alcohol but not including tobacco use) at baseline were compared with respect to: age at baseline testing, gender, mental state variables, movement disorder and social function (see Table 1). The only significant difference revealed was that the patients with a history of substance abuse had a significantly higher mean CGI score, indicating a more severe illness. Repeating the analyses, comparing those with and without a report of non-alcohol drug use only, revealed similar results, with those patients reporting a history of drug use without alcohol problems demonstrating significantly higher CGI scores (t=−3.00, df=75, p=0.004).
To examine change in symptoms and social function over time in these two groups, repeated measures ANOVAs were performed with factors of time (baseline and follow-up) and group (subjects with and without a report of any lifetime substance use at baseline). Both groups improved significantly over time on MADRS, CGI and the three schizophrenia syndrome scores (range of F values: 31.78–113.19). There was a significant group effect for CGI [F(1, 71)=6.37, p=0.014], demonstrating that those with a history of substance use were considered to be more ill. There were no main effects of group for any other clinical measures; the highest F was for the positive syndrome scores [F(1, 83)=1.63, n.s.]. SFS showed no significant improvement over time in either group. There were no significant effects of group×time. Limiting the analysis to those with or without a lifetime history of non-alcohol substance use did not alter the results.
To further examine the association between substance use and clinical outcome, the follow-up sample was divided into four groups: the 23 subjects reporting no substance use at any time (‘persistent non-users’); the 21 subjects reporting lifetime use at baseline and current use at follow-up (‘persistent users’); the 36 subjects reporting lifetime use at baseline but no report of current use at follow-up (‘baseline only users’); and the two subjects reporting no substance use at baseline but current use at follow-up. Given the small number of patients in the last group, this was excluded from further analysis. Table 2 provides details of clinical variables for the three groups (non-users, persistent users and baseline only users) at follow-up. The information in the table shows that at follow-up the persistent users had significantly higher scores for the positive syndrome, overall severity of illness (CGI) and depressive features (MADRS).
CGI, Clinician Global Impression scale; MADRS, Montgomery–Asberg Depression Rating Scale; SFS, Social Function Scale; SAI, Schedule for Assessment of Insight; EPSE, Extrapyramidal Side Effects Rating Scale; BARS, Barnes Akathisia Rating Scale; AIMS, Abnormal Involuntary Movements Scale; RDC, Research Diagnostic Criteria.
p<0.05.
To examine change in symptoms and social function over time in these three subgroups, repeated measures ANOVAs were again performed with factors of time (baseline and follow-up) and group (non-users, persistent users and baseline only users). Initially, each of the symptom-based syndromes was examined separately. The main effects of time revealed significant improvement in negative [F(1, 77)=32.30, p<0.001], positive [F(1, 77)=80.50, p<0.001] and disorganization [F(1, 77)=66.71, p<0.001] syndrome scores. There were no main effects of group for negative [F(2, 77)=0.64, n.s.] or disorganization syndrome scores [F(2, 77)=0.88], but there was a trend for the groups to differ with respect to positive syndrome scores [F(2, 77)=2.66, p=0.076]. Similarly, group×time interaction effects were not significant for negative [F(2, 77)=0.88, n.s.] and disorganization [F(2, 77)=0.64, n.s.] syndromes, but positive syndrome scores changed differently over time across the groups [F(2, 77)=5.50, p<0.006]. Least significant difference (LSD) post hoc analyses showed that the persistent users improved less than the baseline only users (p<0.05). Figure 1 displays the positive syndrome (hallucinations and delusions) scores at baseline and follow-up for the three substance use subgroups.
The same analysis was then performed on the remaining clinical variables. The main effects of time revealed significant improvement on the MADRS scores [F(1, 71)=52.92, p<0.001] and the CGI [F(1, 65)=121.55, p<0.001] but not SFS [F(1, 74)=0.30, n.s.]. There was no main effect of group on the MADRS [F(2, 71)=0.70, n.s.] or SFS [F(2, 74)=0.71, n.s.]. There was a significant group effect for CGI [F(2, 65)=6.29, p<0.003], with persistent non-users having significantly less severe illness at baseline and follow-up than either persistent users or baseline only users. There were no group×time effects: the highest F was for the SFS score [F(2, 74)=2.00, n.s.].
An analysis of substance use profile and type of medication prescribed revealed no differences in the proportion of patients in each of the subgroups who had received purely first- or second-generation antipsychotics or a mixture of the two (χ2=0.60, df=4, n.s.).
Substance use and cognitive function
The following variables were used to analyse cognitive function: pre-morbid IQ, spatial span; spatial working memory errors; Tower of London perfect solutions planning score; stage reached on the attentional set shifting task; pattern recognition memory number correct. No significant differences were found between patient groups with and without a history of substance use at baseline (range of t values for all measures was −0.85 to 0.81). To examine change in cognitive function over time in these two groups, repeated measures ANOVAs were performed. Analysis of the main effects of time revealed significant improvement in spatial working memory [F(1, 67)=9.63, p=0.003] and spatial span [F(1, 65)=5.64, p=0.02], with a trend for improvement in planning [F(1, 63)=2.85, p=0.07]. By contrast, main effects of time were not significant for recognition memory [F(1, 63)=0.64, n.s.] or stage reached on attentional set shifting [F(1, 61)=1.89, n.s.]. There were no main effects of group for any of the measures (highest F was for the pattern recognition memory task [F(1, 63)=1.09, n.s.]. Similarly, there were no significant effects of group×time for spatial span [F(1, 65)=0.10, n.s.], recognition memory score [F(1, 63)=0.24, n.s.], attentional set shifting stage reached [F(1, 61)=0.31, n.s.] or planning [F(1, 63)=0.39, n.s.]. However, there was a significant interaction for spatial working memory errors [F(1, 67)=4.61, p=0.04] due to the group reporting no drug use at baseline showing a significant improvement [mean reduction in errors: 11.09 (s.e.=4.02); F(1, 67)=11.01, p=0.001] over the follow-up period, which was not found in the group reporting substance abuse [mean reduction in errors: 2.02 (s.e.=2.75); F(1, 67)<1, n.s.]. Repeating the analysis with only those subjects with or without a lifetime history of non-alcohol substance use at baseline revealed essentially similar findings. Further analysis comparing spatial working memory performance and pattern of substance use over the follow-up period in subgroups such as persistent users and baseline only users was precluded by the small numbers.
Use of substances over the follow-up period
Data on the full range of substance use at both baseline and follow-up were available for 81 of the follow-up sample.
Smoking
At first assessment, 49 (60%) of the sample were smokers, and this figure had risen to 52 (64%) at follow-up. Only eight out of the 49 smoking at baseline had stopped smoking, while 11 of the 32 non-smokers at baseline had started smoking over the follow-up period. Further analysis investigating the effects of tobacco alone on clinical and neuropsychological factors was omitted because at baseline all but nine of the 49 smokers used other substances.
Alcohol use
At baseline, 24 (30%) of the subjects reported problem drinking, of whom 16 had evidence of dependent drinking. By the follow-up assessment, only seven of these 24 subjects still had a drinking problem, although there was evidence of dependent drinking in all but one. An additional five subjects had developed a drinking problem during the follow-up period, so that the total number with such a problem at the time of follow-up was 12 (15%).
Cannabis
At baseline, 51 (63%) subjects reported lifetime cannabis use, and 26 (32%) reported current use at that time. At follow-up, 15 (18.5%) were using the drug, only one of whom had not reported use of the drug at the initial assessment.
Stimulants
At baseline, 29 (36%) subjects reported lifetime use of stimulants (predominantly amphetamine and cocaine), but only two (2.5%) were using these drugs at follow-up.
Other substances
The baseline figures for the lifetime use of other substances were as follows: ecstasy (3,4-methylenedioxymethamphetamine, MDMA) 30 (37%); hallucinogens (such as lysergic acid diethylamide, LSD) 28 (34.5%); opiates 9 (11%); barbiturates and/or benzodiazepines 11 (13.5%); phencyclidine (PCP) and/or angel dust 6 (7%); other substances (such as khat) six (7%). At the time of the follow-up assessments, no one in the sample reported the use of any of these substances.
Discussion
Reduction in substance use
The findings suggest that in people with first-episode schizophrenia, a report of past or current co-morbid substance use at the time of first presentation to clinical services is a poor indicator of persistent substance use following the initiation of treatment. Despite the relatively high proportion of patients in the sample reporting a history of problem or dependent drinking and/or cannabis, stimulant or other drug use when first presenting to psychiatric services, the figures for current use at follow-up were relatively low. At follow-up, only two people in the sample were using stimulants and there was no reported use of substances such as ecstasy, hallucinogens, opiates, barbiturates, benzodiazepines or PCP.
With regard to cannabis, the most common, non-alcohol substance used, there was a marked reduction in the number of people in the sample reporting its current use from baseline to the end of a median follow-up period of more than a year. While nearly a third (32%) of patients reported current cannabis use at initial presentation, only 14 (17%) were still using at follow-up, although one other patient had started using the drug during that period. These findings are in line with those of Caspari (Reference Caspari1999), who followed up a sample of people with schizophrenia of relatively early onset, with a history of cannabis use at their index admission. Reassessed more than 5 years later, nearly half the cases (48%) had discontinued any substance use. Similarly, in a retrospective study of first-episode psychosis, Lambert et al. (Reference Lambert, Conus, Lubman, Wade, Yuen, Moritz, Naber, McGorry and Schimmelmann2005) reported a reduction in prevalence of co-morbid substance use disorder from 62% at baseline to 36% in those completing 18 months of treatment in an early intervention programme. Furthermore, in a prospective study of first-episode psychosis by Wade et al. (Reference Wade, Harrigan, Edwards, Burgess, Whelan and McGorry2006), there was a significant reduction in substance use over a 15-month follow-up period. Specifically, the proportion using cannabis fell from 63% to 42%.
The patients in our sample were not exposed to any treatment programme targeted at substance use. It is therefore plausible but entirely speculative that the decline in substance use may be partly attributable to the non-specific intervention of antipsychotic medication. There are several reports suggesting that antipsychotic drugs, particularly second-generation drugs such as clozapine, olanzapine, quetiapine and risperidone (Drake et al. Reference Drake, Xie, McHugo and Green2000; Smelson et al. Reference Smelson, Losonczy, Davis, Kaune, Williams and Ziedonis2002; Potvin et al. Reference Potvin, Stip and Roy2003), may be associated with full or partial remission of substance use. However, in the present study, second-generation antipsychotics showed no advantage in relation to use of substances at follow-up.
Symptoms and illness severity
For the overall sample, there was no significant relationship between lifetime report of substance use at initial presentation and clinical outcome over the follow-up period, in terms of global severity of illness, social function or severity of psychotic or depressive symptoms. This is in line with the findings of the study by Lambert et al. (Reference Lambert, Conus, Lubman, Wade, Yuen, Moritz, Naber, McGorry and Schimmelmann2005) : in first-episode psychosis, baseline substance use disorder had no significant influence on symptom remission at 18 months' follow-up. However, the findings of the present study confirm that persistent substance use following presentation with first-episode schizophrenia can be associated with greater symptom severity in respect of positive symptoms such as hallucinations and delusions and depressive symptoms, but not negative symptoms (Bühler et al. Reference Bühler, Hambrecht, Löffler, an der Heiden and Häfner2002; Grech et al. Reference Grech, Van Os, Jones, Lewis and Murray2005). There are several possible explanations for this association, and they are not mutually exclusive: first-episode schizophrenia with continuing co-morbid substance use may be less responsive to antipsychotic medication (Green et al. Reference Green, Tohen, Hamer, Strakowski, Lieberman, Glick and Clark2004), or substance use could be exacerbating the positive symptoms (Grech et al. Reference Grech, Van Os, Jones, Lewis and Murray2005). In addition, patients with more severe psychotic illness may be more likely to use substances as self-medication, to relieve depression or positive symptoms, the latter being perhaps less plausible, with little supportive evidence (Addington & Duchak, Reference Addington and Duchak1997; Spencer et al. Reference Spencer, Castle and Michie2002). A further possibility is that the poor clinical outcome in those with persistent co-morbid substance use reflects an association with poor adherence with treatment. However, in a previous study of patients derived from the West London first-episode schizophrenia cohort, we failed to find a relationship between co-morbid substance use and adherence to medication (Mutsatsa et al. Reference Mutsatsa, Joyce, Hutton, Webb, Gibbins, Paul and Barnes2003), and Sorbara et al. (Reference Sorbara, Liraud, Assens, Abalan and Verdoux2003) reported that persistent substance use after first admission for psychosis had a deleterious impact on clinical outcome independent of medication adherence.
Cognitive impairment
Although cognitive deficits in association with alcohol and drug use have been extensively reported, they have tended not to emerge in studies of co-morbid substance use in schizophrenia. For example, Sevy et al. (Reference Sevy, Robinson, Holloway, Alvir, Woerner, Bilder, Goldman, Lieberman and Kane2001) failed to find an association between lifetime substance use in first-episode patients and cognitive impairment, and Joyal et al. (Reference Joyal, Hallé, Lapierre and Hodgins2003) found no association between co-morbid substance use and neuropsychological performance in a sample of men with established schizophrenia.
We have previously demonstrated that patients with first-episode schizophrenia are impaired on aspects of executive function, including SWM (Hutton et al. Reference Hutton, Puri, Duncan, Robbins, Barnes and Joyce1998; Joyce et al. Reference Joyce, Hutton, Mutsatsa, Gibbins, Webb, Paul, Robbins and Barnes2002). In the present study, we examined the possible interactions between baseline substance use or no substance use and change in neurocognitive performance measures over the follow-up period. The only significant interaction was with SWM: a report of no lifetime substance use at baseline was associated with a significantly greater improvement in SWM performance (see earlier comments about controlling for baseline performance).
The findings of a specific improvement in one subgroup of patients and on one of several tests mitigates an explanation of this finding in terms of ‘practice effects’. In support of this, our unpublished findings of test–retest performance after a 1-year interval in 42 normal control subjects showed no significant changes on the SWM test.
A preferred interpretation of this finding is that the effects of past use of substances may delay or otherwise impede recovery of SWM performance over the first year or so of treatment. Impairment of working memory may be attributable to several of the substances reported, either alone or in combination. An association between chronic alcohol consumption and deficits on working memory tasks has been found in both animal (Santin et al. Reference Santin, Rubio, Begega and Arias2000) and human studies (Ambrose et al. Reference Ambrose, Bowden and Whelan2001; Weissenborn & Duka, Reference Weissenborn and Duka2003). With regard to non-alcohol substance use, Block et al. (Reference Block, Erwin and Ghoneim2002) concluded that chronic drug use is associated with a range of cognitive impairments, including memory problems, which may fail to show improvement even after several months of abstinence. Specifically, long-term and heavy users of cannabis may experience subtle neuropsychological deficits in attention and memory that may or may not persist after prolonged abstinence, and that require compensatory effort, calling upon additional brain regions, when trying to meet the demands of neuropsychological tasks (Lundqvist, Reference Lundqvist2005). Cannabis has been associated with disruption of working memory in samples of substance users, but only with long-term use (Fletcher et al. Reference Fletcher, Page, Francis, Copeland, Naus, Davis, Morris, Krauskopf and Satz1996). There is some evidence that ecstasy (MDMA) can lead to impaired neuropsychological performance in young people, which may not be reversed by prolonged abstinence (Battachary & Powell, Reference Battachary and Powell2001; Morgan et al. Reference Morgan, McFie, Fleetwood and Robinson2002), but whether or not working memory is a core deficit remains unclear (Gouzoulis-Mayfrank et al. Reference Gouzoulis-Mayfrank, Daumann, Tuchtenhagen, Pelz, Becker, Kunert, Fimm and Sass2000; Rodgers, Reference Rodgers2000; Battachary & Powell, Reference Battachary and Powell2001; Morgan et al. Reference Morgan, McFie, Fleetwood and Robinson2002), and coincident cannabis use is an important potential confound in studies in this area (Rodgers, Reference Rodgers2000; Croft et al. Reference Croft, Mackay, Mills and Gruzelier2001). Finally, impairment on some tests of working memory has been reported for subjects whose primary drug of abuse was either amphetamines or heroin (Ornstein et al. Reference Ornstein, Iddon, Baldacchino, Sahakian, London, Everitt and Robbins2000).
Limitations of the study
Perhaps the main limitation of this study is the relatively low proportion of patients reassessed at follow-up. This is relevant to the interpretation of the findings, in that there may have been some selective drop-out from the study, generating bias. However, in defence of the generalizability of the sample, those subjects successfully followed up could not be distinguished at baseline from those lost to follow-up on key clinical variables.
Another potential criticism relates to the reliability of self-report for assessing substance use. The disadvantages of such a method are selective under-reporting of recent use and particular substances, such as stimulants and opiates (Magura & Kang, Reference Magura and Kang1996). Key advantages in the context of the present study were that it could provide information on drug history, age of onset and remote use, and identify pattern of use and dependence, as well as cover drugs, such as LSD and solvents, that would be difficult to test for with other methods. There is also evidence for the validity of self-reported substance use in various clinical groups, including young multiple drug users receiving treatment (Martin et al. Reference Martin, Wilkinson and Kaur1988), out-patients diagnosed with substance use disorder and bipolar disorder/post-traumatic stress disorder (Weiss et al. Reference Weiss, Najavits, Greenfield, Soto, Shaw and Wynerm1998), and a mixed psychiatric and substance use population (Weaver et al. Reference Weaver, Madden, Charles, Stimson, Renton, Tyrer, Barnes, Bench, Middleton, Wright, Paterson, Shanahan, Seivewright and Ford2003).
As the majority of participants in this epidemiologically based study who had a history of substance use had lifetime use of more than one substance, the data do not allow for any conclusions regarding the effects of any particular substance.
Clinical implications
The findings of the present study add to the evidence that, for people with first-episode schizophrenia, continued substance use may worsen outcome, and stopping the use of substances, such as cannabis, may be associated with an improved outcome (Linszen et al. Reference Linszen, Dingemans and Lenoir1994). The findings also reinforce the argument that those involved in the care of people with first-episode schizophrenia need to identify substance use disorder early and develop strategies to limit continued substance use and prevent the problem developing in those not currently using (Addington & Addington, Reference Addington and Addington2001; Green et al. Reference Green, Tohen, Hamer, Strakowski, Lieberman, Glick and Clark2004). The findings also suggest that, at least in an urban, UK sample, a relatively high proportion of those with both schizophrenia and a report of lifetime substance use at first presentation to services will not be using alcohol or non-alcohol substances a year or so later, in the absence of any specific psychological interventions for substance use. Therefore, such interventions might be most effectively targeted on the minority exhibiting persistent substance use, in whom more severe residual positive symptoms may be seen.
Although use of most substances declined over the follow-up period, tobacco use proved to be an exception. The proportion of patients smoking showed a slight increase over the follow-up period. Wade et al. (Reference Wade, Harrigan, Edwards, Burgess, Whelan and McGorry2006) reported a similar finding; there was little change in the proportion of their cohort of patients with first-episode psychosis using tobacco over a 15-month follow-up period. This area of dependency in people in the early stages of schizophrenia should be a priority area for further research on mechanisms and treatment possibilities.
Acknowledgements
This work was funded by the Wellcome Trust (Grant: 064607/z/01/z).
Declaration of Interest
T.R.E.B. has, on occasion, over the past few years acted as a consultant to the pharmaceutical industry (Servier, Bristol–Myers Squibb, Johnson & Johnson).