Product Images Darifenacin 7.5 Mg
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 9 images provide visual information about the product associated with Darifenacin 7.5 Mg NDC 70700-182 by Xiromed, Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
Ryonly is a medication that contains Darifenacin Hydrobromide, with each tablet containing 17.858 mg of the active ingredient, which is equivalent to 15 mg of darifenacin. The drug is available in extended-release tablets form and is recommended to be taken once daily at the usual dose. For storage, Ryonly should be kept at temperatures between 15-30°C (59-86°F) away from light. It is essential to keep this medication and others out of reach of children. The drug is manufactured by Xiromed, LLC, Florham Park, NJ.*
Darifenacin is an extended-release tablet used for the treatment of urinary incontinence. Each tablet contains 15mg of darifenacin hydrobromide. The recommended dose is one tablet daily. The tablets should be stored at room temperature and protected from light. This medication should be kept out of reach of children. Manufactured by Xiromed LLC in the USA.*
NDC 70700-182-30 Ryonly is a medication containing 8.929 mg of darifenacin hydrobromide to provide 7.5 mg darifenacin. It comes in extended-release tablet form and is taken daily. It should be stored between 15 to 30°C (59 to 86°F) and protected from light. This medication is manufactured by Xiromed, LLC in Florham Park, NJ and was made in the USA.*
This appears to be a graph or chart showing the amount of a certain substance (possibly medication) in milligrams taken over time in hours. The dosage seems to change between 7.5mg and 15mg. There are also some numbers and symbols that are not recognizable. The sample size is mentioned at the end, which is 95 for the 7.5mg and 104 for 15mg.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.