Product Images Albuterol Sulfate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 10 images provide visual information about the product associated with Albuterol Sulfate NDC 0054-0742 by Hikma Pharmaceuticals Usa 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.

Fig-A - AlbuterolFigA

Fig-A - AlbuterolFigA

Fig-B - AlbuterolFigB

Fig-B - AlbuterolFigB

Fig-C - AlbuterolFigC

Fig-C - AlbuterolFigC

Fig-D - AlbuterolFigD

Fig-D - AlbuterolFigD

Fig-E - AlbuterolFigE

Fig-E - AlbuterolFigE

Fig-F - AlbuterolFigF

Fig-F - AlbuterolFigF

Fig-G - AlbuterolFigG

Fig-G - AlbuterolFigG

FEV1 Graph - AlbuterolGraphFINAL

FEV1 Graph - AlbuterolGraphFINAL

This looks like a table or a graph showing the percentage change in FEV (Forced Expiratory Volume) over time in a 12-week clinical trial for Albuterol Sulfate inhalation aerosol compared to a CFC 11/12 Albuterol inhaler and a HFA-134a placebo inhaler. The table provides data on the number of puffs and frequency of administration for each inhaler in the trial.*

Label - AlbuterolLabel

Label - AlbuterolLabel

This text describes an Albuterol Sulfate Inhalation Aerosol with 200 metered inhalations. The product is free of chlorofluorocarbons and has a net weight of 67g. It is manufactured by Hikma Pharmaceuticals USA. The storage instructions suggest keeping the inhaler between 20°C and 25°C and shaking it before usage. The text warns that the product should be kept out of the reach of children and recommends to consult a medical professional immediately if needed. The package insert has full prescribing information. The rest of the text consists of lot and company identification codes and a manufacturing date.*

Chemical Structure - albuterolsulfatechemicalstructure

Chemical Structure - albuterolsulfatechemicalstructure

* 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.