Product Images Albuterol Sulfate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 12 images provide visual information about the product associated with Albuterol Sulfate NDC 53002-1552 by Rpk 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.

chemical-structure - chemical structure

chemical-structure - chemical structure

figure-a-b.jpg - figure a b

figure-a-b.jpg - figure a b

The text describes a metal canister with a mouthpiece, plastic actuator, and a dose counter. There are two accompanying figures labeled A and B, but their content is not described.*

figure-c.jpg - figure c

figure-c.jpg - figure c

figure-d.jpg - figure d

figure-d.jpg - figure d

The text describes the quantity and instructions for using Albuterol Sulfate Inhalation Aerosol. The product comes with 200 sprays for actual use and an additional 3 sprays that are meant for priming purposes before using the device. The spray counter of the device will read 200 before priming and 203 after priming, as shown in Figure D.*

figure-e.jpg - figure e

figure-e.jpg - figure e

figure-f.jpg - figure f

figure-f.jpg - figure f

figure-g-h.jpg - figure g h

figure-g-h.jpg - figure g h

figure-graphs - figure graphs

figure-graphs - figure graphs

FEV was measured as Mean Percent Change from Test-Day Pre-Dose in a 6-Week Clinical Trial. The percent change in FEV was recorded on Day 1 and Day 43 at various time intervals using different types of albuterol inhalers (albuterol sulfate inhalation aerosol, matched placebo HFA inhalation aerosol, and marketed HFA-134a albuterol inhaler).*

figure-i.jpg - figure i

figure-i.jpg - figure i

figure-j.jpg - figure j

figure-j.jpg - figure j

figure-k.jpg - figure k

figure-k.jpg - figure k

Label Image - lbl530021552

Label Image - lbl530021552

* 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.