Aspirin 325mg / Caffeine 22mg tablets

BACKGROUND: The use of herbal medicinal products (HMPs) is common among older adults; however, little is known about concurrent use with prescription drugs, as well as potential interactions associated with such combinations. OBJECTIVE: The aim of this systematic review was to identify and evaluate the literature on concurrent prescription and HMP use among older adults to assess prevalence, patterns, potential interactions and factors associated with this use. METHODS: Systematic searches were conducted in the MEDLINE, PsycINFO, EMBASE, CINAHL, AMED, Web of Science and Cochrane databases from inception to May 2017 for studies reporting concurrent use of prescription medicines with HMPs in adults ≥ 65 years of age. Quality was assessed using the Joanna Briggs Institute checklists. And the Evidence for Policy and Practice Information and Co-ordinating Centre (EPPI-Centre) three-stage approach to mixed method research was used to synthesise data. RESULTS: Twenty-two studies were included. A definition of HMPs or what was considered an HMP was frequently missing. Prevalence of concurrent use by older adults varied widely between 5.3 and 88.3%. Prescription medicines most combined with HMPs were antihypertensive drugs, β-blockers, diuretics, antihyperlipidemic agents, anticoagulants, analgesics, antihistamines, antidiabetics, antidepressants and statins. The HMPs most frequently used were Ginkgo biloba, garlic, ginseng, St John's wort, Echinacea, saw palmetto, evening primrose oil and ginger. Potential risks of bleeding due to the use of Ginkgo biloba, garlic or ginseng with aspirin or warfarin was the most reported herb-drug interaction. Some data suggest being female, and having a lower household income and less than a high-school education were associated with concurrent use. CONCLUSION: The prevalence of concurrent prescription drugs and HMP use among older adults is substantial and potential interactions have been reported. Knowledge of the extent and manner in which older adults combine prescription drugs will aid healthcare professionals in appropriately identifying and managing patients at risk. Systematic Review Registration Number: PROSPERO 2014:CRD42014009091.

Abstract licence: CC BY-NC

BACKGROUND: Migraine is a neurological disorder resulting in large socioeconomic burden. This network meta-analysis (NMA) is designed to compare the relative efficacy and tolerability of non-steroidal anti-inflammatory agents (NSAIDs) and triptans. METHODS: We conducted systematic searches in database PubMed and Embase. Treatment effectiveness was compared by synthesizing direct and indirect evidences using NMA. The surface under curve ranking area (SUCRA) was created to rank those interventions. RESULTS: Eletriptan and rizatriptan are superior to sumatriptan, zolmitriptan, almotriptan, ibuprofen and aspirin with respect to pain-relief. When analyzing 2 h-nausea-absence, rizatriptan has a better efficacy than sumatriptan, while other treatments indicate no distinctive difference compared with placebo. Furthermore, sumatriptan demonstrates a higher incidence of all-adverse-event compared with diclofenac-potassium, ibuprofen and almotriptan. CONCLUSION: This study suggests that eletriptan may be the most suitable therapy for migraine from a comprehensive point of view. In the meantime ibuprofen may also be a good choice for its excellent tolerability. Multi-component medication also attracts attention and may be a promising avenue for the next generation of migraine treatment.

Abstract licence: CC BY

A UV-chemometric approach has been developed to analyze a ternary combination of aspirin, caffeine, and orphenadrine citrate without the need for previous separation. The method is easy, specific, accurate, and highly precise. The three medications were evaluated simultaneously utilizing CLS, PLS, and PCR, which were generated based on separate data sets that yielded superior findings. Regrettably, their accurate estimation could only be achieved using the PLS approach. In order to determine the prediction power of each chemometric approach, its validity has been tested using 8 synthetic mixes. The latent variable number varies across various models as the dataset changes. The comparison of various methodologies and the assessment of the predictive capacity of each set of data were done using the predicted residual error sum of squares (PRESS) and the root mean square error of prediction (RMSEP). The created approach was also used to statistically compare the performance of PLS in a dataset with zero absorption, as well as to compare the performance of the offered chemometric methods in various datasets. The environmental impact of the created approach was assessed to determine the overall ecological sustainability of the designed methodology. According to the new Blue Applicability Grade Index (BAGI) evaluation methodology, the suggested technique was also found to be practicable.

Abstract licence: CC BY