Product Images Pollens - Trees, Birch Mix

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 2 images provide visual information about the product associated with Pollens - Trees, Birch Mix NDC 65044-1169 by Jubilant Hollisterstier Llc, 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.

AP Cattle Hair-Dander, 5 mL 1:50 w/v Carton Label - non standardized extracts scratch prick puncture 1

AP Cattle Hair-Dander, 5 mL 1:50 w/v Carton Label - non standardized extracts   scratch prick puncture 1

This is a description for a medication for dogs named UF DOG that comes with a preservative called HAIR-DANDER. The medication contains 50% ultrapure glycerin and is intended for Canis lupus familiaris. The inactive ingredients include sodium chloride and sodium bicarbonate. The medication is packaged in a bottle with a lot number of $1234567 and an expiry date of 2019Jul02. The recommended dose is one drop topically. The medication is non-returnable and requires a prescription. The storage temperature is between 2-8°C. The medication is sterile until opened and has an NDC of 65044-4850-1 and a U.S. License No. 1272.*

AP Cattle Hair-Dander, 5 mL 1:50 w/v Vial Label - non standardized extracts scratch prick puncture 2

AP Cattle Hair-Dander, 5 mL 1:50 w/v Vial Label - non standardized extracts   scratch prick puncture 2

UF DOG HAIR-DANDER (ULTRAFILTERED) is a pet medication used topically for the treatment of dog hair and dander irritation. Its active ingredient is Canis lupus familiaris hair & dander, and it is available in drop form to be applied on the affected area. It is stored at a temperature range of 2-8°C and comes with a 50% glycerin preservative. This product is manufactured by Jubilant HollisterStier LLC in Spokane, WA, and has a U.S. License No. 1272, which is valid until 2019.*

* 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.