The outbreak of the coronavirus pandemic (COVID-19) has a significant impact on the well-being of people and nations worldwide, with major public health, economic, social and safety implications (Nicola et al. 2020). The policies enacted to cope with the outbreak differ among and within countries; however, there are common response measures such as social distance, lockdown, and stay-at-home (Lin 2020; Pakpour and Griffiths 2020). Moreover, the vast majority of day-to-day activities such as work and education have become online efforts with uncertain effects on the physical and mental health among people of all ages.Health authorities have recognized the probable deterioration of mental health conditions due to COVID-19 (WHO 2020a). For example, 24.9% of Chinese college students experienced some level of anxiety (Cao et al. 2020); and considerable stress, anxiety, and depression have been reported among the general population in China (Wang et al. 2020). Similar findings are evident in other locations (Harper et al. 2020;Sorokin et al. 2020). Taking a different methodological approach, Knipe et al. ( 2020) analyzed trends in Google searches which indicated a rise of fear and excessive searches for self-care.Fear, as a multi-faceted factor, may be one of the most significant underlying elements that could lead to impairment of mental health conditions and well-being (Kumar and Nayar 2020). Given the prominent role that fear seems to have during COVID-19, Ahorsu et al. (2020) developed The Fear of COVID-19 Scale (FCV-19S), a 7-item unidimensional scale which assesses the severity of fears related to COVID-19. This instrument has been shown to have satisfactory psychometric characteristics and validity in multiple populations around the world (

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Context. Although medical cannabis (MC) policies continue to evolve around the world, the integration of MC into clinical practice remains highly debated within the medical community.Objectives. Relying on the Theory of Planned Behavior (TPB), this study aim was to identify underlying factors that influence physicians' intentions to recommend MC to patients and to examine whether there are differences in the strength of these associations across three medical specialties (family medicine, oncology, and pain medicine).Methods. 247 physicians completed questionnaires including measures of TPB constructs (attitudes, subjective norms, and perceived behavioral control) and intentions to recommend MC to two clinical vignettes describing medical background of a cancer and a chronic pain patient. Regression models were used to measure the extent to which perceived knowledge and TPB constructs predict physicians' intentions to recommend MC.Results. Physicians' intentions to recommend MC to the cancer patient vignette was higher than their intentions to recommend to the chronic pain patient vignette. Intentions to recommend MC to the patient with cancer were associated with more favorable attitudes toward MC, whereas intentions to recommend MC to the patient with chronic pain were associated with more favorable attitudes, higher levels of perceived control, and lower levels of perceived knowledge.Conclusion. Clinical practices related to MC may be influenced by nonmedical factors, and this may be particularly prevailing in the field of chronic pain, suggesting that MC may be particularly contentious in this field.