Product Images Anti Mucedine Feminine Wash

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Anti Mucedine Feminine Wash NDC 81615-008 by Jiangxi Renhetang Pharmaceutical Chain Co., Ltd., 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.

1

1

Not available.*

2

2

This is the product label for a 200ml bottle of Anti-mucedine Feminine Wash. The label includes drug facts, warnings, directions for use, and information on active and inactive ingredients. It also provides information on the manufacturer's address, hygiene license of production, implementing standard, and distribution details. The product can be used for vaginal douching and the douche tool must be cleaned and disinfected before and after each use. There is a product batch number and expiration date listed as well.*

3

3

This is a description of a feminine wash product. The product is called "Anti-mucedine Feminine Wash" and has a net content of 200ml. It is mainly used for inhibiting Candida albicans growth and has an inhibitory effect on staphylococcus aureus and Escherichia coli. The active ingredient is Chlorhexidine diacetate and it is mainly used for female intimate cleaning and daily hygiene care. The product cannot be used for STD prevention during sexual activity and should be kept in a high place out of the reach of children. Users who are in menstrual, gestational, or perinatal periods should use the product with extreme caution. Directions for use include pouring the proper amount of the wash into a douche bottle, watering it down up to the bottleneck, and then douching the intimate areas. The company name is Jiangxi Kangmei Medical & Health-cares Co., Ltd., and the product is manufactured in Jiangxi Province.*

* 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.