As cannabis use may precipitate relapse in this population, it is important to reduce these motivators of use. Clinician's must assess and treat these problems, thus reducing the need for patients to self-medicate with cannabis, and therefore reducing the risk of relapse.
Objective: To examine the reasons for cannabis use among individuals with psychotic disorders. Method: Forty-nine people with psychotic disorders in treatment with community health centres in Northern Sydney were interviewed to collect information about their experience of antipsychotic side-effects and their influence on cannabis use. Other information collected on cannabis use included: amount and frequency, effects of use and other general reasons given for use. Results: It was found that boredom, social motives, improving sleep, anxiety and agitation and symptoms associated with negative psychotic symptoms or depression were the most important motivators of cannabis use. Positive symptoms of psychosis and antipsychotic side-effects that were not associated with anxiety, were not important motivators of cannabis use. Conclusions: As cannabis use may precipitate relapse in this population, it is important to reduce these motivators of use. Clinician's must assess and treat these problems, thus reducing the need for patients to self-medicate with cannabis, and therefore reducing the risk of relapse.
The analysis of Brickman et al. (1982), which separates attribution of a problem's cause and solution, was tested in 4 studies. Young and elderly adults' (n = 210) well-being was related only to taking responsibility for solutions. The elderly compared with the young adults assumed less responsibility for problem cause and solution. They also preferred helping and coping models that assume low self-responsibility for solutions (e.g., medical model). This result was replicated with Meals on Wheels clients (n = 51). An intragenerational helping pattern was found in Study 3. Lay helpers (n = 63) helped mainly same-age recipients. Elderly and middle-aged helpers compared with young adults preferred using a medical model. Overall, a cohort bias in model preference was suggested. In Study 4, problem type and recipient age moderated attributions and model choice of young and middle-aged Ss (n = 92). Relevance to the control literature and ethical and clinical implications of a medical-model bias are discussed.
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