Product Images Metronidazole

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 12 images provide visual information about the product associated with Metronidazole NDC 63629-8731 by Bryant Ranch Prepack, 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.

Label - lbl636298731

Label - lbl636298731

This text describes the composition, storage, dosage and usage of NILD Vaginal gel, which contains Metronidazole, methylparaben and propylparaben in a gel form. Each gram of the gel contains 7.5 mg of Metronidazole. The gel is meant for intravaginal use only, and should be kept out of reach of children. It should be stored at a temperature between 20°C to 25°C and should not be frozen. The NDC code for this product is 63629-8731-1.*

5d5728bc-figure-01 - metronidazole vaginal gel 1

5d5728bc-figure-01 - metronidazole vaginal gel 1

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5d5728bc-figure-10 - metronidazole vaginal gel 10

5d5728bc-figure-11 - metronidazole vaginal gel 11

5d5728bc-figure-11 - metronidazole vaginal gel 11

5d5728bc-figure-02 - metronidazole vaginal gel 2

5d5728bc-figure-02 - metronidazole vaginal gel 2

5d5728bc-figure-03 - metronidazole vaginal gel 3

5d5728bc-figure-03 - metronidazole vaginal gel 3

5d5728bc-figure-04 - metronidazole vaginal gel 4

5d5728bc-figure-04 - metronidazole vaginal gel 4

5d5728bc-figure-05 - metronidazole vaginal gel 5

5d5728bc-figure-05 - metronidazole vaginal gel 5

5d5728bc-figure-06 - metronidazole vaginal gel 6

5d5728bc-figure-06 - metronidazole vaginal gel 6

5d5728bc-figure-07 - metronidazole vaginal gel 7

5d5728bc-figure-07 - metronidazole vaginal gel 7

5d5728bc-figure-08 - metronidazole vaginal gel 8

5d5728bc-figure-08 - metronidazole vaginal gel 8

5d5728bc-figure-09 - metronidazole vaginal gel 9

5d5728bc-figure-09 - metronidazole vaginal gel 9

* 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.