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Chemistry and Pharmacology of Naturally Occurring Flavoalkaloids
Published in Namrita Lall, Medicinal Plants for Cosmetics, Health and Diseases, 2022
Rashmi Gaur, Jyoti Gaur, Nikhilesh Kumar
Yoshikado et al. (2009) identified two new polyphenols namely uncariagambiriine (112) and gambircatechol (113) having nitrogen ring links and isolated from the leaves of Uncaria gambir Hunter, Roxb. (family Rubiaceae), a climbing shrub native to Asia cultivated in the Malay Peninsula and Indonesia. The extract of the fresh leaves of U. gambir is known to treat diarrhea and dysentery, burns, scurf and lumbago (Yoshikado et al., 2009).
Catalog of Herbs
Published in James A. Duke, Handbook of Medicinal Herbs, 2018
Gambir is widely used as a tanning material and is employed medicinally as an astringent. Gambir is the dried, aqueous extract prepared from the leaves and twigs. The drug contains catechutannic acid (22 to 50%) which resembles the tannin in kino (Pterocarpus marsupium Roxb.) and Krameria. Gambir is also used as a mordant in dyeing. In Malaya, it is used for chewing with the betel leaf; some believe it causes the reddening of the mouths of betel chewers. It is often planted in Malaya as well for the aromatic flowers.
Toward a family-oriented treatment approach for consumers and carers of mental illness
Published in International Journal of Mental Health, 2018
The project was conducted between September 2010 and February 2011. It involved: (a) Approval for this research was obtained from the University of New South Wales Human Research Ethics Committee in 2010, (b) conducting a literature and beyondblue document review, (c) designing three semi-structured schedules for the ‘consumers only,’ ‘carers only,’ and ‘mixed groups of consumers and/or carers’ informed by the literature, (d) recruiting participants through beyondblue’s national consumer and carer e-based reference group ‘blueVoices,’ (e) conducting focus groups in four urban (Melbourne, Hobart, Sydney, and Adelaide) and four regional (Bendigo, Burnie, Tamworth, and Mount Gambier) sites (f) transcribing the recorded focus groups (permission to record was first sought), (g) thematically analysing the discussions, and (h) writing up results in a Final Report to beyondblue. Only the findings relating to the differing needs of consumers and carers have been reported and expanded on here. The relevant literature has also been updated here since the study was conducted. (More details on the study’s methodology can be found in the original report; a summary has only been provided here for brevity).
A scoping review of the information provided by fertility smartphone applications
Published in Human Fertility, 2022
Emmalee A. Ford, Alexandra E. Peters, Shaun. D. Roman, Eileen. A. McLaughlin, Emma. L. Beckett, Jessie. M. Sutherland
Women’s health and pregnancy apps are incredibly popular, comprising 9% of the apps available in the iTunes marketplace’s health category, with women’s fertility apps representing 8% of the most downloaded health apps (Safavi et al., 2018). These apps cover a number of functions including, but not limited to, tracking menstrual cycles, recording symptoms, contraception, planning conception, monitoring pregnancy (Gambier-Ross et al., 2018; Hughson et al., 2018). Reproductive health apps are often perceived as helpful by their users, as they provide easy access to information and support where traditional care may be less available (Epstein et al., 2017; Lupton & Pedersen, 2016). It is, therefore, a major concern that the validity of the evidence provided in these apps is frequently unsupported (Lupton & Pedersen, 2016; Starling et al., 2018). However, due to apps being updated, added or removed from the market regularly (Larsen et al., 2016), studies of the reliability of specific apps may quickly become obsolete. Crucially, what remains to be determined is the accuracy of information typically presented in these apps, and what themes of fertility and reproduction they cover. There is mixed evidence on the potential for current apps to improve healthcare service delivery, with success largely dependent on high user engagement, notifications/messaging, and of course, the accuracy of the content within mHealth apps (Free et al., 2013; Kratzke & Cox, 2012). Regardless of the capability of current apps, the potential for mHealth apps to deliver evidence based health information with positive behavioural change outcomes is well established (Hilty & Chan, 2018; Mehdipour & Zerehkafi, 2013).