Product Images Family Wellness Medicated Wipes

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Product Label Images

The following 2 images provide visual information about the product associated with Family Wellness Medicated Wipes NDC 55319-031 by Family Dollar, 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.

3168 AHC LB FD FW Max Strength Medicated Wipes with Aloe 48ct R2 FDA (1)

3168 AHC LB FD FW Max Strength Medicated Wipes with Aloe 48ct R2 FDA (1)

FAMILY RUCHIES offers medicated wipes with Aloe and Witch Hazel for hemorrhoidal and vaginal care. These wipes provide gentle everyday cleansing to lessen irritation from hemorrhoids, and they cool, soothe, and comfort. The product comes in a pack of 48 wipes and is available over-the-counter. SKU number is 0902260, and NDC is 55319-031-48. The size of each wipe is 6"x5" (15.2cmx 12.7cm). The rest of the text contains irrelevant characters and symbols.*

GN24 AHC PH Preparation H Medicated Wipes Generic Pouch 48ct R1 FDA

GN24 AHC PH Preparation H Medicated Wipes Generic Pouch 48ct R1 FDA

This is a Drug Facts label for a witch hazel product. The active ingredient is witch hazel 50%. The product is used to temporarily relieve itching and discomfort related to hemorrhoids and also to protect irritated anorectal areas. The wipes must be used externally, and users should not put them directly into the rectum with fingers or applicators. People should stop using the wipes and consult their doctor if rectal bleeding occurs, the condition worsens, or symptoms persist for more than seven days or clear up and then reoccur. Children under 12 should consult a doctor. The inactive ingredients include alcohol, aloe vera leaf, citric acid, diazolidinyl urea, glycerin, methylparaben, propylene glycol, propylparaben, purified water, and sodium citrate.*

* 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.