Product Images Ipratropium Bromide
View Photos of Packaging, Labels & Appearance
- Structural Formula - ipratropium bromide nasal solution 42 mcg per spra 1
- Figure 1 - ipratropium bromide nasal solution 42 mcg per spra 2
- Figure 2 - ipratropium bromide nasal solution 42 mcg per spra 3
- Figure 3 - ipratropium bromide nasal solution 42 mcg per spra 4
- Figure 4 - ipratropium bromide nasal solution 42 mcg per spra 5
- Label - ipratropium bromide nasal solution 42 mcg per spra 6
- Carton - ipratropium bromide nasal solution 42 mcg per spra 7
Product Label Images
The following 7 images provide visual information about the product associated with Ipratropium Bromide NDC 69238-2017 by Amneal Pharmaceuticals Ny Llc, 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.
Label - ipratropium bromide nasal solution 42 mcg per spra 6

This text is a warning label for Ipratropium Bromide Nasal Spray. It advises the user to read the full prescribing information and patient instructions before use, and warns against spraying the medication near the eyes. It also provides information about proper storage and lists the manufacturer's information.*
Carton - ipratropium bromide nasal solution 42 mcg per spra 7

This is a description for Ipratropium Bromide Nasal Spray, with the NDC code 69238-2017-2. The medication is a solution that contains ipratropium bromide and is indicated for the treatment of allergic and nonallergic rhinitis. The recommended dosage is two sprays per nostril, three or four times daily. The solution should not be sprayed in or around the eyes, and it should be stored at room temperature. The product is distributed by Amneal Pharmaceuticals LLC, and each bottle contains 15 mL of solution, which is equivalent to 165 metered sprays. The label includes a non-varnish area for lot number, expiration date, and serialization.*
* 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.