Early clinical manifestations of cannabis dependence in a community sample
Introduction
Based upon evidence from recent surveys in the US an estimated 5800 people start using cannabis every day (Department of Health and Human Services, 1999), and among cannabis users an estimated one in 11 (9%) become cannabis dependent (Anthony et al., 1994). In their descriptions of their first cannabis intoxications, users generally stress feelings of euphoria or well-being; feelings apparently reinforced with repeated use of the drug (Joy et al., 1999). Neuroadaptive changes to cannabis exposure might start after just a few doses (Bass and Martin, 2000), perhaps resulting in use of larger doses of the drug to achieve the same ‘high’. For reasons such as these, it might be surmised that subjectively-felt tolerance to cannabis effects emerges early in the course of cannabis dependence, and might help differentiate the experience of cannabis dependence cases from the experience of cannabis users who do not develop dependence upon this drug. Alternately, differences in early subjectively experienced effects of cannabis might help to differentiate users with biological predisposition to make more rapid progression to cannabis dependence, perhaps in synchrony with biological variation in enzyme activity (Pianezza et al., 1998).
For reasons described by Schuckit and colleagues in their research reports on the clinical course of alcohol dependence (Schuckit et al., 1993, Schuckit et al., 1995, Schuckit et al., 1998), it is important to discover the time-sequencing of clinical features that emerge during the insidious onset of chronic diseases of non-infectious origin. Studies of this type started with the work of Sydenham and other 18th century clinicians who sat by the bedside of affected patients and made careful clinical observations about which signs and symptoms tended to emerge first, and which appeared later, in the absence of specific clinical intervention. In the 20th century, similar methods have been applied to the ‘natural history’ and ‘clinical course’ of many different diseases (e.g. see Buckwalter et al., 1999, Boos et al., 2000, Hauser et al., 2000), but for the most part the psychoactive drug use disorders have been neglected in this research.
The work of Schuckit and colleagues has addressed this gap in evidence with respect to alcohol dependence. Martin et al. (1996) and Langenbucher and Chung (1995) have added to the picture with respect to alcohol problems during adolescence and adulthood.
In this research, the epidemiological spotlight is turned on cannabis dependence, building upon a line of research initiated by Kandel and colleagues (Kandel et al., 1992, Chen and Kandel, 1995, Kandel and Chen, 2000). Both traditional analyses of age of onset data (e.g., numerical summaries of the type presented by Schuckit and colleagues), as well as boxplots and survival analyses that shed light on the time course of clinical features associated with cannabis dependence are used.
This study represents a new step in our research group's continuing effort to understand the natural history of drug involvement and development of drug use disorders. Prior research on the precursors of alcohol and cannabis dependence has focused primarily upon clinical samples. The work uses a community sample of cannabis users assessed in 1981 and followed up through 1996, and allows for the identification of clinical features associated with cannabis use prior to the development of disorder. In addition, this study gains strength because it has followed cannabis users through most of the empirically derived ‘period of risk’ for developing cannabis dependence in the contemporary United States. As shown recently by Wagner and Anthony (submitted), the vast majority of recent cannabis dependence cases have emerged within 10 years of initial cannabis use. In this epidemiological sample of cannabis users, almost all had started smoking marijuana for more than 10 years (97%). Hence, for most of the cannabis users under study, cannabis dependence would already have developed by the time of follow-up in the early 1990s.
Section snippets
Subjects
This study makes use of data from the longitudinal follow-up of the Baltimore sample of the Epidemiologic Catchment Area Survey (ECA). The ECA participants originally were sampled to be representative of eastern Baltimore's adult household population in 1981, and were not identified as cases seeking treatment. The Baltimore site was one of five sites participating in the multi-center epidemiological study organized the National Institute of Mental Health (NIMH) in the early 1980s; other ECA
Demographics
Of the 599 cannabis users in the ECA follow-up sample, 37 had developed DSM-IIIR cannabis dependence by the time of assessment in the early 1990s, 41 had developed non-dependent cannabis abuse, and 521 had no diagnosis of cannabis use disorder. Among the 521 who had not developed one of these cannabis related disorders, 61 reported at least one clinical feature associated with cannabis dependence. In general, sociodemographic characteristics did not distinguish cases from non-cases of abuse or
Discussion
The main findings of this study can be summarized as follows: First, traditional analyses based upon mean and median age of onset yielded different impressions than the survival analyses. For example, a subjectively felt loss of control over cannabis tended to occur at a later age of onset, but in fact when measured in elapsed time since first cannabis use, it was one of the earliest and most frequently observed clinical features among cases of cannabis dependence. Among cases, an estimated 50%
Acknowledgements
This research was supported by NIDA grants DA05960 and DA08199, and by NIMH grant MH47447.
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