name_usage() returns issues as codes. This code shows how replace the codes with the corresponding issues

get_df_with_issues

devtools::install_github("ropensci/rgbif")
library(rgbif)
library(tidyverse)
library(rgbif)

# GBIF taxon keys (from Manual of Alien Plants of Belgium)
keys <- c(141264614, 8421432)

# The issues are returned as codes
example_duplicates <- map_df(keys, 
                             function(x) 
                               rgbif::name_usage(x, return ="data")
)
# Table codes, issues, descriptions
issues_df <- rgbif::name_issues()

example_duplicates_with_issues <- example_duplicates %>% 
  separate_rows(issues, sep = ",") %>%
  left_join(issues_df, by = c("issues" = "code")) %>%
  mutate(issues = issue) %>%
  select(-c(issue, description)) %>%
  group_by_at(vars(-issues)) %>%
  summarise(issues = paste(issues, collapse  = ",")) %>%
  ungroup()