Product Images Good Neighbor Pain Relief

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Good Neighbor Pain Relief NDC 46122-030 by Amerisourcebergen Drug Corporation (good Neighbor Pharmacy), 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.

image of card - GN ORALPAINRELIEF Card

image of card - GN ORALPAINRELIEF Card

This is a pain relief product for oral use. It contains benzocaine 20% and provides temporary relief for a range of mouth and gum irritations, such as toothache, sore gums, canker sores, braces, minor dental procedures, and dentures. It is not recommended for use for more than seven days unless directed by a doctor. The product is not manufactured or distributed by Wyeth Consumer Healthcare, owner of the registered trademark Anbesol. Keep it out of reach from children, and consult a doctor for children under two years of age. Manufacturer is Lee Pharmaceuticals.*

image of label - GN ORALPAINRELIEF Label

image of label - GN ORALPAINRELIEF Label

This is a liquid oral anesthetic that contains benzocaine 20%. It provides temporary relief for pain associated with toothache, sore gums, canker sores, braces, minor dental procedures, and dentures. This product should not be used by individuals with allergies to local anesthetics or benzocaine. The recommended dosage should not be exceeded and use for more than 7 days should only be done under the direction of a doctor or dentist. The product should be kept away from children and should not be used for children under 2 years old without consulting a doctor or dentist. It should be stored at room temperature. Complete labeling information is available on the blister card. It is distributed by AmerisourceBergen and manufactured by Lee Pharmaceuticals.*

* 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.