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 72572-014 by Civica 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.
This is a table presenting data on FEV (Forced Expiratory Volume) as a percentage change from predose in a 12-week clinical trial. The table compares the effect of albuterol sulfate inhalation aerosol (2 puffs, four times daily) to CFC 1112 albuterol (2 puffs, four times daily) and a HFA-134a placebo (2 puffs, four times daily). There are a total of 193 participants in the group using albuterol sulfate inhalation aerosol, 186 participants in the CFC 1112 albuterol group, and 186 participants in the placebo group.*
This text provides instructions for accessing more information and a video demonstration about how to use a product called "ciplaalbuterolhfa." The instructions suggest visiting the website www.ciplaalbuterolhfa.com, scanning a code or calling 1-866-604-3268 for more information.*
This is an image with two views of an inhaler. It has a dose indicator with a display window and a pointer. The canister should be pressed to release the dose of medicine. It also has an actuator, a mouthpiece, and a cap.*
This text appears to be a description of a medication with the active ingredient AlbuteFOI Sulfate. It is an inhalation aerosol with 200 metered inhalations, with instructions to shake the container before use and to store it at a controlled room temperature between 20°C and 25°C. The medication is for treating a respiratory condition, and there is a warning to seek medical attention immediately if there are any adverse reactions. The text also provides a prescription number, NDC number, and manufacturer's information for the medication.*
* 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.