Enoxaparin Sodium Injection
Product Images NDC 0781-3246

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 9 technical images submitted to the FDA as part of the official labeling for Enoxaparin Sodium (NDC 0781-3246). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Sandoz 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

Enoxaparin Figure A (Image 01)

FDA Label Image

Enoxaparin Figure B (Image 02)

FDA Label Image

Enoxaparin Figure C (Image 03)

FDA Label Image

Enoxaparin Figure D (Image 04)

FDA Label Image

Enoxaparin Figure E (Image 05)

FDA Label Image

Enoxaparin Sodium Chemical Structure (Image 06)

Enoxaparin Sodium Chemical Structure (Image 06)
This text describes a chemical compound with various groups including COONa, OH, ORy, NHR, and SO3Na. There is a percentage value given as X which represents the amount of polysaccharide chain containing a specific derivative. The compound may have potential applications in industries such as medicine, food or cosmetics.*
FDA Label Image

Figure-1 (Image 07)

FDA Label Image

Figure-2 (Image 08)

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Principal Display Panel (Image 09)

Principal Display Panel (Image 09)
The Enoxiluv Kit is a prescription-only medication indicated by the National Drug Code (NDC) 76420-532-01. The kit contains ten 0.4mL syringes of Enoxaparin Sodium Injection, USP at 40mg/0.4mL concentration with automatic safety devices. Additionally, the kit has 10 alcohol prep pads with 70% isopropyl alcohol, 10 pairs of sterile gloves powder-free nitrile gloves (size M), 10 adhesive bandages, and 10 woven gauze single-use sponges (2 sponges per pack). The Enoxiluv Kit is distributed by Enavachem in Torrance, CA, USA.*

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