Auvi-q Injection, Solution
Product Images NDC 51662-1663

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Auvi-q (NDC 51662-1663). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Hf Acquisition Co Llc, Dba Healthfirst, 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

Structure (51662 1661 Structure)

FDA Label Image

How Supplied (51662 1661 How Supplied)

How Supplied (51662 1661 How Supplied)
This text provides the package configuration, strength, and corresponding National Drug Codes (NDC) for autoinjectors in different doses. It includes autoinjectors with strengths of 0.3mg, 0.15mg, and 0.1mg, along with their respective NDC codes. The information is organized in a clear format for easy identification and tracking of the different product variations.*
FDA Label Image

Serialized Label (51662 1663 1)

Serialized Label (51662 1663 1)
This text seems to contain a product identification code along with information indicating that the product is distributed by HF Acquisitions Co., LLC based in Mukilteo, WA 98275. The presence of "RXONLY" suggests that this product may be intended for prescription use only. The information may be part of a label or packaging for a product.*
FDA Label Image

Serialized Label (51662 1663 2)

Serialized Label (51662 1663 2)
This text appears to be a product label containing a reference number, manufacturing and distribution details, as well as instructions to see the manufacturer's insert. The product is distributed by HF Acquisitions Co., LLC in Mukilteo, WA 98275. The mention "RXONLY" possibly indicates that the product is for prescription use only.*

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