The prevalence of complementary and alternative medicine use in the general population of Babol, North of Iran, 2018.

BACKGROUND: Complementary and Alternative Medicine (CAM) have recently become more popular and accepted worldwide. One principal step to identify the status and organize strategies of CAM is evaluating the manner and the prevalence of its usage among people. This study aimed to investigate the prevalence of CAM modalities usage by the people of Babol, a central city in the North of Iran, in 2018. METHODS: Using the original International CAM Questionnaire (I-CAM-Q), a questionnaire was redesigned in Persian (Farsi) with some changes such as adding special modalities in Iran and its validity and reliability were assessed. Six hundred households were evaluated using a cluster sampling method in 2018 spring by 12 trained interviewers. RESULTS: Finally, 1770 questionnaires were correctly completed. A total of 110 participants (6.21% of the completed questionnaires) had visited CAM therapists in the last year, 109 persons (6.15%) had received prescriptions from physicians and paramedics to use CAM, and a total of 1032 people (58.30%) used herbs and herbal medicines in the last 12 months. Also, 1265 individuals (71.46%) had used CAM throughout their lives. The most popular methods were herbal medicine (65.76%), Persian Medicine (13.78%), water therapy (10.45%) and music therapy (8.36%). The use of CAM was more popular among women. CONCLUSIONS: The general use of CAM in Babol was similar to other studies, but there were fewer visits by CAM therapists and less frequent adoption of common methods including homeopathy, acupuncture, and energy therapy. It was found that CAM was mostly used for non-serious diseases such as cold and transient gastrointestinal disorders, a pattern that is different from other studies in this field.

Nine Steps to Discover New Medicines from Traditional Sources: The Example of Persian Medicine.

Objectives: Developing a new medicine is a costly and time-consuming process. This study presents a novel method to collate a new materia medica from previously documented traditional Persian medicine (TPM) references. A well-documented materia medica will facilitate a quick and easy process to find traditional medicine for specific symptoms or diseases. Materials and methods: A nine-step algorithm is proposed to collate a new materia medica by searching and matching descriptions and references stated in various traditional Persian literature: (1) finding the equivalent of traditional description of symptoms or diseases; (2) determining the keywords to search in the references of TPM, including The Canon of Medicine (Book by Avicenna); (3) determining the best references of TPM for the aim of the study; (4) weighing up the references (a) based on the prominence of the author's prominence (b) determining whether the references are the author's own clinical findings or has citation from other scholars been used, (c) the popularity of the book that the references feature in, among other later scholars of TPM, the geographical and historical span across which the book has been distributed; (5) searching the references using keywords of symptoms or diseases; (6) finding the synonyms of terminologies in the various materia medicas and categorizing the findings; (7) revision (of references found) to ensure that nothing is neglected; (8) scoring the findings based on the defined criteria; (9) prioritization: sorting the materia medica based on the total scores. Some important economic, cultural or historical factors cannot be included in the main process of prioritization during the initial searching of the TPM materia medica. Therefore, it is necessary to take these factors into account after discovering the medicine and before using in practice to ascertain that they are a good match of a specific treatment, disease or symptom. Conclusion: A process to compile a new materia medica has been proposed which will enable the quick and easy selection of herbal treatments for various signs and symptoms of illnesses.