Product Images Numb520

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Product Label Images

The following 2 images provide visual information about the product associated with Numb520 NDC 63742-030 by Clinical Resolution Laboratory, Inc., 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 - Label

Label - Label

Ebanel Numb520 is a topical anesthetic cream that contains 5% Lidocaine HCI for temporary relief of local and anorectal discomfort related to anorectal disorders or inflammation. It should be applied up to 6 times a day and must be kept away from direct sunlight or heat. It is for external use only and should not be used by children under 12 years old without consulting a doctor. This product must not be used on pregnant or breastfeeding women without consulting a health professional. If an overdose of the product happens, it is recommended to seek medical attention or contact the Poison Control Center immediately. Allergic reactions can occur in certain persons so be aware of the inactive components used in this product. If the symptoms persist, or if redness, irritation, swelling, pain, or any other symptom occurs or gets worse, immediate medical attention should be sought.*

Label2

Label2

This is a drug fact sheet for a 1.38 oz. tube of Ebanel Numb520 topical anesthetic cream that contains Lidocaine HCI 5%. The cream is manufactured in the USA by Ebanel Laboratories, Inc. and contains inactive ingredients like Aloe Barbadensis Leaf Juice, Trideceth-6, and Triethanolamine. The directions on this cream suggest that adults apply the cream on the affected area up to six times a day, while children under 12 should consult a doctor before use. The product should be kept out of direct sunlight and out of reach of children. If someone accidentally ingests the cream, they should seek medical attention immediately.*

* 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.