Product Images Aripiprazole
View Photos of Packaging, Labels & Appearance
- Aripiprazole-fig-16.jpg - Aripiprazole fig 16
- Aripiprazole-fig-17 - Aripiprazole fig 17
- Effects of other drugs on dehydro-aripiprazole - Aripiprazole fig10
- Effects of aripiprazole on pharmacokinetics of other drugs - Aripiprazole fig11
- Effects of intrinsic factors on aripiprazole - Aripiprazole fig12
- Effects of intrinsic factors on dehydro-aripiprazole - Aripiprazole fig13
- Effects of other drugs on aripiprazole - Aripiprazole fig9
- Aripiprazole Structure - aripiprazole fig8
- aripiprazole-graph - aripiprazole graph
- Label - lbl713351935
Product Label Images
The following 10 images provide visual information about the product associated with Aripiprazole NDC 71335-1935 by Bryant Ranch Prepack, 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.
Aripiprazole-fig-16.jpg - Aripiprazole fig 16
Aripiprazole-fig-17 - Aripiprazole fig 17
Effects of other drugs on dehydro-aripiprazole - Aripiprazole fig10
Effects of aripiprazole on pharmacokinetics of other drugs - Aripiprazole fig11
Effects of intrinsic factors on aripiprazole - Aripiprazole fig12
Effects of intrinsic factors on dehydro-aripiprazole - Aripiprazole fig13
Effects of other drugs on aripiprazole - Aripiprazole fig9
Aripiprazole Structure - aripiprazole fig8
aripiprazole-graph - aripiprazole graph
Label - lbl713351935
This is a label for a medication package, specifically for a 15mg tablet of Abilify produced by Alkem Laboratories Limited. The package was produced by Bryant Ranck Prepack and contains 30 tablets with an expiration date of MM/YY. The National Drug Code (NDC) number is 7133519351. The label also includes information on storage at room temperature and a warning to keep the medication out of reach of children.*
* 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.
