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The therapeutic uses of cannabis are associated with its ability to regulate and manage: Nausea (e.g., for chemotherapy patients) Appetite Pain (e.g., for people living with multiple sclerosis, cancer-related pain or chronic pain that is not cancer-related) Depressed mood and insomnia Understanding the risks The following health risks are possible for anyone who uses cannabis heavily or regularly: Problems with thinking, memory or physical co-ordination Impairment, which can lead to serious injuries, including those from motor-vehicle accidents Hallucinations, such as seeing, hearing, tasting, smelling or feeling things that do not really exist Mental health problems, specifically if you or an immediate family member has had a mental health issue, like psychosis or an addiction to alcohol or other drugs Cannabis dependence Breathing or lung problems from smoking Cancer from smoking Problems during or after pregnancy Reduce the harms There are ways in which you can reduce the risks associated with using cannabis: Avoid regular use to reduce the negative effects cannabis can have on the brain and body Consider using edibles, oils or topicals instead of smoking Avoid tobacco as mixing agent Keep bongs and pipes clean, avoid plastic bottles due to toxic fumes Consider a vaporizer which stops combustion and reduces tar and carcinogens Avoid operating machinery, driving or swimming Try to avoid inhaling too deeply or holding your breath while smoking Avoid illegal cannabis products and synthetic cannabinoid products such as K2 or Spice Canadas Lower-Risk Cannabis Use Guidelines provides some suggestions on how to safely use cannabis products for non-medical purposes

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Compared with traditional meta-analysis using linear mixed effect models, MR-BRT relaxes the assumption of a log(linear) relationship between exposure and risk, incorporates between-study heterogeneity into the uncertainty of risk estimates, handles estimates reported across different exposure categories, automatically identifies and trims outliers, and systematically tests and adjusts for bias due to study designs and characteristics

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