Product Images Nitroglycerin Lingual

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 7 images provide visual information about the product associated with Nitroglycerin Lingual NDC 51662-1423 by Hf Acquisition Co Llc, Dba Healthfirst, 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.

FIGURE A - PCI A

FIGURE A - PCI A

This is a description of a grooved button that helps one to position their finger correctly on a bottle, even in the dark. The button is located on a black nozzle actuator. The bottle itself is transparent with an orange coating, allowing one to see the contents inside. No further information is available.*

FIGURE B - PCI B

FIGURE B - PCI B

FIGURE C - PCI C

FIGURE C - PCI C

FIGURE D - PCI D

FIGURE D - PCI D

SERIALIZED LABELING - Serialized Spray

SERIALIZED LABELING - Serialized Spray

This appears to be a product label or packaging. It includes a code number, a manufacturer's name and location, and information about the contents of the package, including the number of sprays and the dosage amount per spray. The product is distributed by HF Acquisition Co., LLC in Mukilteo, WA, but specific details about the product or its intended use are not available.*

SPRAY LABELING - Spray Labeling

SPRAY LABELING - Spray Labeling

Nitroglycerin Lingual Spray is a medication that comes in a net contents of 49g, providing 400 mcg per Spray in 60 Metered Sprays. The pump must be primed before use, and instructions for use can be found in the package insert. It is required to store the medication at 20-25°C (68-77°F) [See USP Controlled Room Temperature], and kept out of the reach of children. Manufacturer is Perrigo, and it is distributed by Perrigo® Allegan, MI 45010. The Control No. and Exp. Date can also be found below.*

STRUCTURE - Structure

STRUCTURE - Structure

* 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.