Cvs Hemorrhoidal Lidocaine 5 Rapid Pain Relief With 10 Finger Cots Kit
Product Images NDC 51316-204

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Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Cvs Hemorrhoidal Lidocaine 5 Rapid Pain Relief With 10 Finger Cots (NDC 51316-204). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cvs Pharmacy, Inc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Inner Package (Inner Package)

Inner Package (Inner Package)
This is a description for a Hemorrhoidal Cream containing 5% Lidocaine for rapid pain relief and reducing burning, itching, and swelling associated with hemorrhoids and anorectal disorders. The cream should not be used if the foil seal is broken. It is for external use only and should not be put into the rectum by using fingers or any mechanical device. The cream can be applied up to 6 times a day for adults and children 12 years and older after cleaning the area with mild soap and water. It is important to consult a doctor for children under 12 years of age. The product also contains aloe vera oil, benzyl alcohol, and other inactive ingredients. If there are concerns or questions, a helpline is provided for assistance.*
FDA Label Image

Outer Package (Outer Package)

Outer Package (Outer Package)
This is a text containing information about a hemorrhoidal cream with Lidocaine 5% as an active ingredient. The cream helps to relieve pain, itching, and burning associated with hemorrhoids. It includes instructions on dosage, application, and warnings. The text also provides details about inactive ingredients, storage, and contact information for inquiries. There is a comparison to the brand Recticare® and guidelines for use.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.