Product Images Buspirone Hydrochloride
View Photos of Packaging, Labels & Appearance
- structural formula - image 1
- 10 mg (one-third of a tablet) - image 10
- break tablet 30 mg - image 11
- 15 mg (the entire tablet) - image 2
- 10 mg (two-thirds of a tablet) - image 3
- 7.5 mg (one-half of a tablet) - image 4
- 5 mg (one-third of a tablet) - image 5
- break tablet 15 mg - image 6
- 30 mg (the entire tablet) - image 7
- 20 mg (two-thirds of a tablet) - image 8
- 15 mg (one-half of a tablet) - image 9
- Label - lbl713352510
Product Label Images
The following 12 images provide visual information about the product associated with Buspirone Hydrochloride NDC 71335-2510 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.
structural formula - image 1
10 mg (one-third of a tablet) - image 10
break tablet 30 mg - image 11
15 mg (the entire tablet) - image 2
10 mg (two-thirds of a tablet) - image 3
7.5 mg (one-half of a tablet) - image 4
5 mg (one-third of a tablet) - image 5
break tablet 15 mg - image 6
30 mg (the entire tablet) - image 7
20 mg (two-thirds of a tablet) - image 8
15 mg (one-half of a tablet) - image 9
Label - lbl713352510
This is a package insert for Buspirone Hydrochloride tablets, USP 30 mg. It provides information on dosing, storage instructions, and a link to access the Patient Package Inserts. The tablets are to be kept out of reach of children and stored at 20° to 25°C (68° to 77°F), with excursions permitted from 15° to 30°C (59° to 86°F). The medication should be dispensed in a tight, light-resistant container with a child-resistant closure. The tablets were repackaged by Bryant Ranch Prepack, Inc. and manufactured by Teva Pharmaceuticals USA, Inc. It is intended for prescription use only and comes in a pack of 60 tablets. The provided NDC code is 71335-2510-1.*
* 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.
