Clearcanal Ear Wax Softerner Drops Solution/ Drops
Product Images NDC 13709-230

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Clearcanal Ear Wax Softerner Drops (NDC 13709-230). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Neilmed Pharmaceuticals, 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

6011 Enu Us Rev14

6011 Enu Us Rev14
These are ear drops designed to soften earwax in adults and children over 12 years of age. The drops contain Carbamide Peroxide as an active ingredient and should be used in the ear only, once or twice per week in cases of excessive earwax. Instructions include tilting the head, applying 10 drops to each ear, and keeping it in for 10 minutes. It is advised not to use the product if there is ear pain, excessive drainage or discharge, or any perforation of the eardrum unless directed by a doctor. The product should also be kept out of the reach of children, not exposed to excessive heat, and the cap should be kept on when not in use. In case of accidental ingestion, seek professional assistance or contact a Poison Control Center.*
FDA Label Image

Neilmed Clearcanal Earwax Removal Kit.

Neilmed Clearcanal Earwax Removal Kit.
The text is a set of directions and warnings for the use of an earwax removal product called NeilMed Clearcanal Carbamide Peroxide. It provides instructions on how to use the spray and syringe included in the kit, how to avoid contamination, and possible side effects. Some advice is given to prevent damage to the eardrum and how to clean the components. It also recommends seeking medical attention if necessary.*

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