Product Images Azelastine Hydrochloride And Fluticasone Propionate
View Photos of Packaging, Labels & Appearance
- Dosing Instructions Figure 1 - image 01
- Dosing Instructions Figure 2 - image 02
- Dosing Instructions Figure 3 - image 03
- Azelastine Hydrochloride and Fluticasone Propionate Nasal Spray 137 mcg/50 mcg Carton Label - image 04
- Azelastine Hydrochloride Structural Formula - image 05
- Fluticasone Propionate Structural Formula - image 06
- Instructions for Use Figure A - image 07
- Instructions for Use Figure B - image 08
- Instructions for Use Figure C - image 09
- Instructions for Use Figure D - image 10
- Instructions for Use Figure E - image 11
- Instructions for Use Figure F - image 12
- Instructions for Use Figure G - image 13
- Instructions for Use Figure H - image 14
- Instructions for Use Figure I - image 15
- Instructions for Use Figure J - image 16
Product Label Images
The following 16 images provide visual information about the product associated with Azelastine Hydrochloride And Fluticasone Propionate NDC 0378-3458 by Mylan Pharmaceuticals Inc., 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.
Azelastine Hydrochloride and Fluticasone Propionate Nasal Spray 137 mcg/50 mcg Carton Label - image 04

This is a patient instruction manual for Azelastine Hydrochloride and Fluticasone Propionate Nasal Spray, a medication for nasal use only. The manual provides dosing instructions, information on how to prime the bottle, storage instructions, and manufacturer information. The medication contains 137 meg Azelastine Hydrochloride and 50 mg Fluticasone Propionate per spray and comes in a 23g net weight bottle with 120 metered sprays. It is important to shake the bottle gently before each use and to use the product within 120 actuations. For assistance, call 1-877-446-3679.*
* 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.