Oralair Kit
Product Images NDC 82454-0020

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Oralair (NDC 82454-0020). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Cenexi Hsc, 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

Oralair-02 (Oralair 02)

This is a description of a medication product called Oralair Adult which contains sweet vernal, orchard, perennial rye, timothy, Kentucky bluegrass, and mixed pollens allergen extracts for sublingual use. The usual dose is indicated in the accompanying circular. The product is manufactured by Stllergenes GREER Laboratories, Inc, and distributed by them without preservatives. The package comes in 3 boxes each containing 3 tablets of 300 IR and is for persons between 18 to 65 years of age. The other texts seem to be product codes, patents, and possibly some gibberish.*

FDA Label Image

Oralair-04 (Oralair 04)

This is a product label for a blister pack containing three tablets of 300 IR of Kentucky Blue Grass Mixed Pollens Allergen Extract for sublingual use in persons aged 18 to 65. The pack includes instructions on how to dispense the enclosed medication guide to the patient and store the tablets in the original package at controlled room temperature to protect from moisture. The label also lists the inactive ingredients and warns to keep the product out of the reach of children, as it is a prescription-only item for sales samples only. There is an illustration showing how to push out the tablet through the back of the blister pack.*

FDA Label Image

Oralair-10-1 (Oralair 10 1)

FDA Label Image

Oralair-15-2 (Oralair 15 2)

FDA Label Image

Oralair-20 (Oralair 20)

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